Sr. Data Engineer 4B
Genpact (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and optimize complex data pipelines and integration frameworks, including reconciliation and advanced transformations.
- Own data engineering quality and reliability through testing, CI/CD automation, monitoring, alerting, performance tuning, and production troubleshooting.
- Apply cloud cost-aware engineering; mentor junior engineers and contribute reusable engineering assets.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Degree requirement: Bachelor’s in Computer Science, Data Science, or Statistics, or Master’s in Data Science.
- Required skills include data engineering, ETL and integration, Spark, Kafka, Databricks, Snowflake, Python, cloud platforms, data streaming and warehousing, Docker, Kubernetes, Git, orchestration, data quality, performance optimization, and system monitoring.
- English proficiency: C2 required. Work arrangement: Office-based; India flex-time shift.
Ideal Candidate Profile
- Strong fit for someone experienced in production data platforms who can handle pipeline engineering alongside reliability, testing, and performance responsibilities.
- Likely to succeed in an environment requiring hands-on incident resolution, cloud cost optimization, engineering automation, and technical mentoring.
- The JD lists Azure and Databricks certifications, including Azure Solutions Architect Expert, Azure Data Engineer Associate, and Databricks Spark Developer Associate and Data Engineer Professional; mandatory status is not specified.