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Location
Remote (Sweden)
Visa
Sponsors visas in United States, Ireland; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
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Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

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.

The Data Engineer 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.

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