AWS - Senior Data Engineer - LS - CWR
Cognizant (company site, opens in a new tab)14–16 yrsChennaiHybridDirect career pageEst. 30–50 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, build, and optimization of enterprise-scale AWS and Snowflake data pipelines, handling ingestion, transformation, and monitoring.
- Own end-to-end technical delivery including design, build, testing, migration, deployment, and production stabilization of cloud data platforms.
- Provide engineering leadership by reviewing designs, enforcing standards, managing risks, mentoring teams, and collaborating with architects and business stakeholders.
Minimum Requirements
- Work Experience Required: 12-16 years, varying by level (Manager: 12-14 years; Senior Manager: 14-16 years).
- Strong hands-on expertise with AWS cloud data services and Snowflake platform including advanced SQL and data engineering fundamentals.
- Experience designing and operating enterprise-scale cloud data platforms and complex ETL/ELT pipelines.
- Preferred domain: Life Sciences with exposure to regulated environments (GxP, 21 CFR Part 11, GDPR); Not strictly mandatory but strongly advantageous.
Ideal Candidate Profile
- Experienced leader capable of independently driving large data engineering teams and complex pipeline architectures within enterprise cloud environments.
- Deep technical understanding to challenge designs, handle escalations, and enforce engineering best practices across distributed teams.
- Familiar with Life Sciences data compliance, quality, and traceability demands or eager to operate in regulated, analytics-intensive environments.