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Genpact

Global professional services for data-driven operations

Senior Data Engineer - Data Engineering 4B

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • Advanced SQL and production-grade Python or Scala.
  • Hands-on experience with AWS, Azure, and Databricks.
  • Proficiency with workflow managers such as Apache Airflow or Azure Data Factory, and transformation tools such as dbt.
  • Relevant data engineering background.
  • Bachelor's degree in Business Analytics, Computer Science, or Statistics, or a master's degree in Data Science.
  • Proficiency in English at C2 level.
  • Required skills include Agile methodology, collaboration tools, commercial sales, consumer packaged goods (CPG), the Databricks platform, data engineering, data literacy, data modeling, and design thinking.

Responsibilities

  • Build and maintain scalable ETL or ELT workflows to move data safely from source systems to cloud storage.
  • Design high-performance analytical schemas using modern cloud data stacks such as data lakes, warehouses, or lakehouses.
  • Implement automated testing, lineage tracking, and security controls to ensure data accuracy and compliance.
  • Monitor cloud computing resources to make queries faster and reduce operational expenses.
  • Mentor junior engineers, review code, and translate complex business needs into technical solutions.

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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