7 days ago
Kolkāta, IndiaSenior
Responsibilities
- Design and develop scalable data processing systems.
- Implement and maintain pipelines to ingest, process, and store large volumes of data.
- Optimize data infrastructure for performance and reliability.
- Collaborate with data scientists and analysts to implement solutions based on data requirements.
- 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 Computer Science, Data Science, or Statistics, or a master’s degree in Data Science.
- Listed certifications include Azure Solutions Architect Expert, Databricks Certified Associate Developer for Apache Spark 3.0, Databricks Certified Data Engineer Professional, and Microsoft Certified: Azure Data Engineer Associate.
- Experience or skills with Apache Kafka, Apache Spark, cloud platforms, Databricks, data engineering, data integration, data quality, data warehousing, Docker, Git, Kubernetes, Python, Snowflake, process orchestration, performance optimization, and system performance monitoring.
- Proficient English language ability at C2 level.
Benefits
- Regular employment with hybrid work arrangements.
- Flex-time work shift in India.
- Hands-on experience, mentorship, and learning opportunities.
- Opportunity to work on AI-powered transformation and enterprise technology challenges.
- Values-driven and inclusive work environment.
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.