24 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design and develop scalable data processing systems.
- Implement and maintain data pipelines that ingest, process, and store 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
- Bachelor's degree in business analytics, computer science, or statistics, or a master's degree in data science.
- Required skills in the Databricks Platform and data engineering.
- English proficiency at the C2 level.
- Relevant certifications listed include Azure Solutions Architect Expert, Cloudera Certified Professional Data Scientist, 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.
- Flex-time work shift in India.
- Hands-on experience, mentorship, and learning opportunities.
- Opportunity to lead AI-powered transformation and solve enterprise business challenges.
- Values-driven culture focused on integrity, inclusion, innovation, and collaboration.
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.