Sr. Data Engineer
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
- 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.
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Qualifications
Bachelors - Computer Science, Bachelors - Data Science, Bachelors - Statistics, Masters - Data Science
Certifications Azure Solutions Architect Expert - Microsoft, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy, Databricks Certified Data Engineer Professional - Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft
Required Skills Apache Kafka, Apache Spark, Cloud Platform, Databricks Platform, Data Engineering, Data ETL, Data Integration, Data Quality, Data Stream, Data Warehousing (DW), Docker (Software), Git, Kubernetes, Performance Optimizations, Process Orchestration, Python (Programming Language), Quality Assurance (QA), Snowflake (Platform), System Performance Monitoring
- Language Proficiency -
- English (OVERALL - Proficient - C2)
Additional Job Location -
- Master Skill List -
- Data Engineering