Sr. Data Engineer - Data Engineering 4B

Overview

Senior Data Engineer role in Genpact's Data Engineering practice, designing and maintaining data systems and pipelines that support AI-driven solutions for global enterprises.

What you'll do

• Design and develop scalable data processing systems
• Implement and maintain data pipelines to 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

What you'll need

• Bachelor's degree in Business Analytics, Computer Science or Statistics, or Master's degree in Data Science
• Databricks Certified Associate Developer for Apache Spark 3.0 (Databricks Academy)
• Databricks Certified Data Engineer Professional (Databricks Academy)
• Required skills: Agile Methodology, Banking Capital Markets, Cloud Computing, Collaboration Tools, Databricks AI/BI Genie, Databricks Catalog Explorer, Databricks Delta Live Tables, Databricks Lakeflow, Databricks Lakehouse Monitoring, Databricks Platform, Databricks SQL, Databricks Unified Data Analytics Platform, Databricks Unity Catalog, Data Engineering
• English language proficiency, Proficient - C2 (Required)

Details

• Location: Pritech Park 4 F, SEZ-II, Bangalore, India
• Work mode: Hybrid
• Work shift: Any (India)
• Job type: Regular