26 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop scalable data processing systems.
- Implement and maintain data pipelines for ingesting, processing, and storing large volumes of data.
- Optimize data infrastructure for performance and reliability.
- Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay current with emerging technologies and trends in big data engineering.
- Mentor junior data engineers on best practices and technical skills.
Requirements
- A bachelor's degree in Business Analytics, Computer Science, or Statistics, or a master's degree in Data Science.
- Proficiency in English at C2 level.
- Experience or skills in data engineering, cloud computing, Databricks technologies, and banking capital markets.
- Databricks Certified Associate Developer for Apache Spark 3.0 or Databricks Certified Associate Developer for Apache Spark certification is listed.
Benefits
- Regular employment with a hybrid work arrangement in India.
- Any work shift is available.
- Opportunities to lead AI-powered transformation and work on enterprise business challenges.
- Hands-on experience, mentorship, and learning opportunities.
- Work within a values-driven, inclusive culture at a large global organization.
Tech Stack
Apache SparkDatabricks
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.