Overview
Senior Data Engineer role within Genpact's Data Engineering team, focused on designing and maintaining large-scale data processing systems and pipelines.
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 in Business Analytics, Computer Science, or Statistics, or Master's in Data Science
- Required skills: Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling
- English language proficiency: Proficient (C2)
Nice to have
- Azure Solutions Architect Expert (Microsoft)
- Cloudera Certified Professional (CCP) Data Scientist (Upgrad)
- Databricks Certified Associate Developer for Apache Spark 3.0 (Databricks Academy)
- Databricks Certified Data Engineer Professional (Databricks Academy)
- Microsoft Certified: Azure Data Engineer Associate (Microsoft)
Details
- Location: Pune, India (1st floor Nyati Tech Park)
- Work mode: Hybrid
- Work shift: Flex Time (India)
- Job type: Regular
Read the full description and apply on the company’s own careers page.