Lead Data Engineer - Data Engineering 4C
Genpact (company site, opens in a new tab)HyderabadHybridDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead data engineers delivering Big Data solutions, including scalable, reliable data pipelines and ETL processes.
- Own data quality, integrity, and security across data systems; troubleshoot and tune performance and efficiency.
- Translate stakeholder requirements into data solutions while guiding junior engineers and maintaining process and infrastructure documentation.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Bachelor’s degree in Computer Science, Data Science, or Statistics, or a Master’s degree in Data Science.
- Required technical skills include data engineering, ETL and integration, data modeling and quality, SQL, Spark, Kafka, Airflow, Databricks, Snowflake, AWS Data Pipeline, APIs, CI/CD, Git, Terraform, secure coding, and performance monitoring.
- English proficiency: C2 (proficient).
Ideal Candidate Profile
- A hands-on technical lead able to direct a data engineering team while providing technical guidance to junior engineers.
- Strong fit for work centered on reliable, scalable Big Data pipelines, data quality and security, and production performance tuning.
- Likely to succeed in a stakeholder-facing environment that requires translating business requirements into documented data systems; experience with the listed data platforms and tools is a shortlist signal.