Lediga job som Databasspecialist/Databasadministratör

Here’s How a Data Engineer Works at Apotek Hjärtat:

You'll be part of a team where everyone's contribution counts to realise the AI and Data Journey at Apotek Hjärtat. The Data engineering team collaborate closely with BI and Data Analysts to shape and realise the data foundation that makes a difference, providing great data and analysis experience for all users. Additionally, you will engage in cross-functional collaboration with other teams including developers, engineers and architects.

You will be a part of building our new data platform on Azure and Databricks. You'll have real influence over how we work with data across the organization.

Together with your colleagues, you will:

• Design and build scalable data pipelines that reliably bring in data from databases, APIs, streaming platforms like Kafka, and other external sources and turning them as Data products.
• Develop shared integration patterns that make it simpler and faster to onboard new data domains, reducing friction for the teams that depend on good data.
• Co-create our gold layer and semantic model with Data Analysts and Architects — securing a consumption ready data for analysts and decision-makers.
• Be part of the solutions in a truly agile setup on Databricks and Azure — you build it, you run it, you improve it.

Building on the strong ICA culture of collaboration, our team culture is built on curiosity, trust, autonomy, and shared ownership of results.

Who are we looking for?

We are expanding our team and looking for a senior Data Engineer to the team.

As a Data Engineer, you will play a key role in taking our new data platform to the next level. To succeed in this role, you should:

• Be looking for a great Data Engineering team with a strategic data platform project at hand where you can have real influence on the direction and outcome
• Be curious and have the ability to effectively understand business requirements and how to turn them into data products that people want to use
• Experience in building and optimizing data pipelines and data lakes/warehouses in a cloud environment (Azure, GCP or AWS). Preferably Azure and Databricks
• Proficiency in Python and SQL
• Proficiency and a keen interest of how agentic coding and AI can speed up the development process
• Experience with Infrastructure as Code (IaC) tools like Terraform is considered a merit
• 
  
• Professional working proficiency in Swedish is considered a strong merit
• A valid work permit for Sweden or EU citizenship

About Apotek Hjärtat

At Apotek Hjärtat, we have a meaningful mission – to help people feel better. With 400 pharmacies across Sweden and an e-commerce platform, we are always close to our customers. As part of ICA Gruppen, we offer great opportunities for both personal and professional growth in a culture built on trust, care, and innovation.

Apply Now:

For any inquiries about the position, please contact the hiring manager, Karl Berthén, Manager Data & Analytics, karl.berthen@apotekhjartat.se. For questions regarding the recruitment process please reach out to Klara Himmelstrand, Talent acquisition partner, klara.himmelstrand@apotekhjartat.se. Apply as soon as possible, but no later than 2026-09-01. If the role requires it, you will need to undergo work psychological tests and background checks before employment. All external assistance with recruitment is declined.

Here’s How a Data Engineer Works at Apotek Hjärtat:

You'll be part of a team where everyone's contribution counts to realise the AI and Data Journey at Apotek Hjärtat. The Data engineering team collaborate closely with BI and Data Analysts to shape and realise the data foundation that makes a difference, providing great data and analysis experience for all users. Additionally, you will engage in cross-functional collaboration with other teams including developers, engineers and architects.

You will be a part of building our new data platform on Azure and Databricks. You'll have real influence over how we work with data across the organization.

Together with your colleagues, you will:

• Design and build scalable data pipelines that reliably bring in data from databases, APIs, streaming platforms like Kafka, and other external sources and turning them as Data products.
• Develop shared integration patterns that make it simpler and faster to onboard new data domains, reducing friction for the teams that depend on good data.
• Co-create our gold layer and semantic model with Data Analysts and Architects — securing a consumption ready data for analysts and decision-makers.
• Be part of the solutions in a truly agile setup on Databricks and Azure — you build it, you run it, you improve it.

Building on the strong ICA culture of collaboration, our team culture is built on curiosity, trust, autonomy, and shared ownership of results.

Who are we looking for?

We are expanding our team and looking for a senior Data Engineer to the team.

As a Data Engineer, you will play a key role in taking our new data platform to the next level. To succeed in this role, you should:

• Be looking for a great Data Engineering team with a strategic data platform project at hand where you can have real influence on the direction and outcome
• Be curious and have the ability to effectively understand business requirements and how to turn them into data products that people want to use
• Experience in building and optimizing data pipelines and data lakes/warehouses in a cloud environment (Azure, GCP or AWS). Preferably Azure and Databricks
• Proficiency in Python and SQL
• Proficiency and a keen interest of how agentic coding and AI can speed up the development process
• Experience with Infrastructure as Code (IaC) tools like Terraform is considered a merit
• 
  
• Professional working proficiency in Swedish is considered a strong merit
• A valid work permit for Sweden or EU citizenship

About Apotek Hjärtat

At Apotek Hjärtat, we have a meaningful mission – to help people feel better. With 400 pharmacies across Sweden and an e-commerce platform, we are always close to our customers. As part of ICA Gruppen, we offer great opportunities for both personal and professional growth in a culture built on trust, care, and innovation.

Apply Now:

For any inquiries about the position, please contact the hiring manager, Karl Berthén, Manager Data & Analytics, karl.berthen@apotekhjartat.se. For questions regarding the recruitment process please reach out to Klara Himmelstrand, Talent acquisition partner, klara.himmelstrand@apotekhjartat.se. Apply as soon as possible, but no later than 2026-09-01. If the role requires it, you will need to undergo work psychological tests and background checks before employment. All external assistance with recruitment is declined.

Here’s How a Data Engineer Works at Apotek Hjärtat:

You'll be part of a team where everyone's contribution counts to realise the AI and Data Journey at Apotek Hjärtat. The Data engineering team collaborate closely with BI and Data Analysts to shape and realise the data foundation that makes a difference, providing great data and analysis experience for all users. Additionally, you will engage in cross-functional collaboration with other teams including developers, engineers and architects.

You will be a part of building our new data platform on Azure and Databricks. You'll have real influence over how we work with data across the organization.

Together with your colleagues, you will:

• Design and build scalable data pipelines that reliably bring in data from databases, APIs, streaming platforms like Kafka, and other external sources and turning them as Data products.
• Develop shared integration patterns that make it simpler and faster to onboard new data domains, reducing friction for the teams that depend on good data.
• Co-create our gold layer and semantic model with Data Analysts and Architects — securing a consumption ready data for analysts and decision-makers.
• Be part of the solutions in a truly agile setup on Databricks and Azure — you build it, you run it, you improve it.

Building on the strong ICA culture of collaboration, our team culture is built on curiosity, trust, autonomy, and shared ownership of results.

Who are we looking for?

We are expanding our team and looking for a senior Data Engineer to the team.

As a Data Engineer, you will play a key role in taking our new data platform to the next level. To succeed in this role, you should:

• Be looking for a great Data Engineering team with a strategic data platform project at hand where you can have real influence on the direction and outcome
• Be curious and have the ability to effectively understand business requirements and how to turn them into data products that people want to use
• Experience in building and optimizing data pipelines and data lakes/warehouses in a cloud environment (Azure, GCP or AWS). Preferably Azure and Databricks
• Proficiency in Python and SQL
• Proficiency and a keen interest of how agentic coding and AI can speed up the development process
• Experience with Infrastructure as Code (IaC) tools like Terraform is considered a merit
• 
  
• Professional working proficiency in Swedish is considered a strong merit
• A valid work permit for Sweden or EU citizenship

About Apotek Hjärtat

At Apotek Hjärtat, we have a meaningful mission – to help people feel better. With 400 pharmacies across Sweden and an e-commerce platform, we are always close to our customers. As part of ICA Gruppen, we offer great opportunities for both personal and professional growth in a culture built on trust, care, and innovation.

Apply Now:

For any inquiries about the position, please contact the hiring manager, Karl Berthén, Manager Data & Analytics, karl.berthen@apotekhjartat.se. For questions regarding the recruitment process please reach out to Klara Himmelstrand, Talent acquisition partner, klara.himmelstrand@apotekhjartat.se. Apply as soon as possible, but no later than 2026-09-01. If the role requires it, you will need to undergo work psychological tests and background checks before employment. All external assistance with recruitment is declined.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful.

Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information.

Key Responsibilities:

• Analyse business requirements and translate them into technical solutions.
• Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.
• Optimize migration processes ensuring data integrity, accuracy, and performance.
• Create and manage Snowflake objects (tables, views, schemas, stages, procedures).
• Implement partitioning, clustering, and performance tuning strategies.
• Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel
• Develop and maintain data models, schemas, and stored procedures in Snowflake SQL
• Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.
• Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake
• Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc).
• Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.
• Develop reusable scripts for automation of migration tasks (Python, Shell etc.).
• Conduct data reconciliation between Teradata and Snowflake post-migration.
• Work closely with data architects, analysts, and business stakeholders to understand requirements
• Document migration processes, best practices, and technical solutions.

Technical Skills:

• Strong hands-on experience with Snowflake cloud data warehouse.
• Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.
• Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc
• Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).
• Knowledge of DevOps and CI/CD practices for data pipelines and workflows.
• Experience in data engineering or database development, particularly with data migrations.
• Experience in different batch processing and data loading/transformation strategies.
• Proficiency in scripting for automating regular or repeating task (python, shell scripting etc).
• Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).
• Experience in analysing and converting Teradata-specific functions to Snowflake equivalents.
• Strong problem-solving and analytical skills.
• Snowflake SnowPro Certification is a plus
• Experience in banking and financial services will be preferred.

The Cognizant community:

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.