Sr. Data Engineer 4B
Genpact (company site, opens in a new tab)HyderabadHybridDirect career pageEst. 14–28 LPA
Posted 14h 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, transformations, and performance tuning.
- Own testing, CI/CD automation, monitoring, observability, alerting, and cloud cost-aware platform usage.
- Troubleshoot production and performance issues, while mentoring junior engineers and creating reusable engineering assets.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Degree listed: Bachelor’s in Computer Science, Data Science, or Statistics, or Master’s in Data Science.
- Required skills include data engineering and ETL/integration, Spark, Kafka, Databricks, Python, cloud platforms, Snowflake, orchestration, Docker, Kubernetes, Git, data quality, and performance monitoring/optimization.
- English proficiency: C2. The JD also lists Azure and Databricks certifications; whether they are mandatory is not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has strong practical alignment with modern data engineering across batch and streaming pipelines, warehousing, and cloud platforms.
- Can take pipelines through development, testing, CI/CD, monitoring, cost optimization, and production troubleshooting.
- Fits a senior individual-contributor role that includes mentoring junior engineers and standardizing reusable engineering practices.