3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Develop and optimize complex data pipelines and integration frameworks.
- Perform data reconciliation, advanced transformation development, and performance tuning.
- Design and execute unit, integration, and system testing activities.
- Implement CI/CD processes and engineering automation standards.
- Build monitoring, observability, and alerting capabilities.
- Optimize platform usage through cloud cost-aware engineering practices.
- Troubleshoot complex production and performance issues.
- Mentor junior engineers and contribute reusable engineering assets.
Requirements
- Bachelor’s degree in Computer Science, Data Science, or Statistics, or a master’s degree in Data Science.
- Required skills include Apache Spark, the Databricks Platform, data engineering, and Python.
- Advanced English proficiency at the C1 level is required.
- Listed certifications include Azure Solutions Architect Expert, Databricks Certified Associate Developer for Apache Spark 3.0, Databricks Certified Data Engineer Professional, and Microsoft Certified: Azure Data Engineer Associate.
Benefits
- Hybrid work arrangement.
- Regular, day-shift position based in India.
- Hands-on experience, mentorship, and learning opportunities.
- Opportunity to lead AI-powered transformation and solve enterprise business challenges.
- Values-driven, inclusive work environment with career development opportunities.
Tech Stack
Categories
Data Engineering
About Genpact
Genpact is a global professional services and technology firm that runs and transforms mission-critical operations for large enterprises through consulting, managed services, and AI- and analytics-driven platforms. It serves industries such as banking, insurance, healthcare, and manufacturing/supply chain, modernizing finance, risk, customer service, and back-office processes. Headquartered in New York and listed on the NYSE (G), Genpact originated within GE before becoming an independent public company.