Cognizant
Linkedin · Posted 6d ago
Sr. Python Snowflake Data Engineer (Hybrid)
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Indexed description
Roles & Responsibilities
- Work in an integrated DevOps model handling both Run and Change activities
- Develop and maintain data pipelines using Python, SQL, Snowflake, and AWS
- Support ingestion of data from multiple upstream systems (APIs, files, S3, legacy sources)
- Build and manage data products consumed via Snowflake
- Handle legacy and modern platforms (DB2, Denodo, AWS, Snowflake)
- Design and manage orchestration using EDF, Snowflake tasks, Tivoli
- Perform data transformation, validation, and quality checks
- Support batch processing and event-driven pipelines
- Participate in on-call rotation to handle incidents and production issues
- Troubleshoot failures and perform RCA for data issues
- Work closely with product owners to deliver prioritized backlog items
- Collaborate with cross-functional and distributed teams (US & offshore)
- Manage GitHub repositories, PRs, and CI/CD deployment pipelines
- Ensure proper coordination of releases across teams
- Support both legacy systems and transformation to strategic platforms
- , Snowflake (Snowpark), AWS (S3,Lambda, Glue, Kinesis),Python, SQL
- DB2, Denodo (legacy exposure preferred)
- SchemaChange / DBT / GitHub
- Knowledge of event-based and batch data processing
- Please note this role is not able to offer visa transfer or sponsorship now or in the future*
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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