Sr. Data Engineer
Zensar Technologies (company site, opens in a new tab)On-siteDirect career pageEst. 10–18 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data ingestion, transformation, and integration pipelines using Snowflake, Talend, and Matillion.
- Analyze, diagnose, and resolve Data Quality & Critical Issues (DQCI) by implementing sustainable fixes across ingestion, transformation, and consumption layers to ensure data accuracy and consistency.
- Optimize ETL/ELT processes and data pipeline performance, support production issues, and collaborate with cross-functional teams to improve platform stability and data delivery quality.
Minimum Requirements
- Proven experience in data pipeline engineering and working with Talend, Snowflake, Matillion, and advanced SQL.
- Strong knowledge of data warehousing concepts and dimensional modeling.
- Experience with API integration, Azure DevOps, and CI/CD pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in handling Data Quality & Critical Issues remediation with a focus on root-cause analysis and sustainable fixes rather than temporary workarounds.
- Skilled in optimizing complex ETL/ELT pipelines within cloud platforms, preferably with experience in AWS and Postgres integration.
- Comfortable working in agile data warehousing projects collaborating effectively with architects, analysts, QA teams, and stakeholders.