
Cognizant Technology Solutions Sweden AB · Stockholm
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 opportun...
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.
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.
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.
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.
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.
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.
Validio AB is a Stockholm-based software company providing a data quality and observability platform. The role is part of the Validation Engine team, responsible for backend services that read data from source systems (e.g. BigQuery, Snowflake, Kafka), run data validation logic, and report incidents to downstream systems. The employee will design, develop, test, and maintain backend components of this system. Main duties Design, develop, and maintain backend services in Rust and Go Develop and maintain SQL query generation logic across multiple database dialects (e.g. BigQuery, Snowflake, ClickHouse, Postgres) Define and maintain service contracts using Protocol Buffers and gRPC Build and maintain data source connectors, including schema introspection and authentication Diagnose and resolve production issues in distributed backend systems Write automated tests and maintain technical documentation for backend components Collaborate with Customer Success and Solutions Engineering teams to translate reported technical issues into engineering solutions Deploy and operate services using Kubernetes and related infrastructure tooling Qualifications University degree in Computer Science, Software Engineering, or equivalent professional experience Documented professional experience developing and maintaining production backend services in Rust or Go Strong working knowledge of SQL, including query optimization and execution plan analysis Experience with distributed systems and message-streaming technologies (e.g. Kafka) Experience with containerized deployment (Kubernetes) Professional proficiency in English
Assignment description Our client is seeking a Lead Data Engineer Strong consultant that can take the role as first Lead Data Engineer within BI/DWH modernization project. Must be able to pre-form early in the project and contribute both in discovery/analysis and in the first implementation. Important that consultant is not only a developer but have strong competence to understand complex data warehouse, analyze dependencies and contribute and form the modernization of the legacy flow. Most important is the combination of SQL Server/SSIS-legacy, datamodellering and practical modernisation towards Fabric/Databricks/Snowflake/Azure. Required Experience Senior Data Engineer Very strong SQL-competens, especially SQL Server and T-SQL Documented experience of SSIS och traditional Microsoft DWH-/BI-environments Experience of analysing ETL-flows, stored procedures, views, tables and dependencies Experience of modernization or migration from legacy DWH cloud-based data platform Experience of at least one of: Microsoft Fabric, Azure Synapse, Databricks or Snowflake Good understanding of Kimball, Data Vault, star schema and data marts Experience of CI/CD, Git and structured development flows Used to document technical solutions, data flows, mappings and designer decisions Ability to work close to Architect, BI Developer, Business experts and other Data Engineers. Contribute both in analyse/discovery and hands-on implementation Lead more junior Data Engineers Meritorious - Experience of: Dbt, SSAS/SSRS/Power BI, Purview, Unity Catalog, DataHub, experience from retail, supply chain, finance, HR or similar domains