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Genpact

Global professional services for data-driven operations

Senior Data Engineer

Data EngineeringPosted on Nov 12
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Bachelor's degree in Computer Science, Data Science, or Statistics, or a master's degree in Data Science.
  • Proficiency with Apache Kafka, Apache Spark, cloud platforms, the Databricks platform, data engineering, data ETL, data integration, data quality, data streams, data warehousing, Docker, Git, Kubernetes, performance optimization, process orchestration, Python, quality assurance, Snowflake, and system performance monitoring.
  • English proficiency at the overall proficient C2 level.

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.

About the Company

Genpact

Global professional services for data-driven operations

Genpact is a professional services firm that helps other companies transform their operations using data, analytics, and artificial intelligence. It started inside General Electric as a back-office unit and became an independent company in 2005, growing into a global business with a focus on digital transformation and AI-powered operations. Genpact's offerings include applying data and AI to automate and optimize business processes, supported by its Cora AI platform and strategic acquisitions like XponentL Data. It shifts from traditional outsourcing to building intelligent, autonomous operations for clients. The company aims to deliver measurable business impact by turning operational processes into data-driven, automated systems that improve efficiency and decision-making.

Company size
10,001+
Company stage
IPO
Headquarters
Amherst, New York
Founded
1997

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