13 days ago
Pune, IndiaSenior
Responsibilities
- Design and develop scalable data processing systems.
- Implement and maintain 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 requirements and implement solutions.
- Troubleshoot and resolve data-related issues.
- Stay current with emerging big data engineering technologies and trends.
- 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.
- Required skills include Databricks Platform, data engineering, Microsoft Power BI, and Snowflake Platform.
- English proficiency at C2 level is required.
- Listed certifications 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
- Regular employment with a hybrid work arrangement in India.
- Flexible work time in the India work shift.
- Mentorship, hands-on experience, and world-class learning opportunities.
- Opportunity to work on AI-powered transformation and enterprise business challenges.
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.