{"id":4259968,"url":"https://alion.io/job/cognizant-data-engineer-5","title":"Data Engineer","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":88,"open_postings":200,"ghost_share":0,"stale_share":0.455,"repost_share":0.06,"time_to_fill_p50_days":24,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":["SE"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false}],"status":"live","first_seen_at":"2026-11-13T04:47:43Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T15:01:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nThe 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.\nKey Responsibilities:\nAnalyse business requirements and translate them into technical solutions.\nDesign, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake.\nOptimize migration processes ensuring data integrity, accuracy, and performance.\nCreate and manage Snowflake objects (tables, views, schemas, stages, procedures).\nImplement partitioning, clustering, and performance tuning strategies.\nImplement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel\nDevelop and maintain data models, schemas, and stored procedures in Snowflake SQL\nMonitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization.\nManage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake\nAutomate 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).\nRewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility.\nDevelop reusable scripts for automation of migration tasks (Python, Shell etc.).\nConduct data reconciliation between Teradata and Snowflake post-migration.\nWork closely with data architects, analysts, and business stakeholders to understand requirements\nDocument migration processes, best practices, and technical solutions.\nTechnical Skills:\nStrong hands-on experience with Snowflake cloud data warehouse.\nKnowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks.\nHands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc\nStrong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.).\nKnowledge of DevOps and CI/CD practices for data pipelines and workflows.\nExperience in data engineering or database development, particularly with data migrations.\nExperience in different batch processing and data loading/transformation strategies.\nProficiency in scripting for automating regular or repeating task (python, shell scripting etc).\nUnderstanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT).\nExperience in analysing and converting Teradata-specific functions to Snowflake equivalents.\nStrong problem-solving and analytical skills.\nSnowflake SnowPro Certification is a plus\nExperience in banking and financial services will be preferred.\nThe Cognizant community:\nWe are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.\nCognizant is a global community with more than 300,000 associates around the world.\nWe don’t just dream of a better way - we make it happen.\nWe take care of our people, clients, company, communities and climate by doing what’s right.\nWe foster an innovative environment where you can build the career path that’s right for you.\nAbout us:\nCognizant 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\nCognizant is an equal opportunity employer. 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