Sr. Data Engineer - Data Engineering 4B

Overview

Senior Data Engineer role in Genpact's Data Engineering practice, designing and maintaining scalable data processing systems and pipelines for enterprise clients.

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 Computer Science, Data Science, or Statistics, or Master's degree in Data Science.
• Certifications: Azure Solutions Architect Expert (Microsoft); 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).
• Required skills: Apache Kafka, Apache Spark, Cloud Platform, Databricks Platform, Data Engineering, Data ETL, Data Integration, Data Quality, Data Stream, Data Warehousing (DW), Docker (Software), Git, Kubernetes, Performance Optimizations, Process Orchestration, Python (Programming Language), Quality Assurance (QA), Snowflake (Platform), System Performance Monitoring.
• Language: English, proficient (C2).

Details

• Location: 1401-G-India, Floor 1 to 12, Hafeezpet Phoenix, Hyderabad.
• Work mode: Hybrid.
• Job type: Regular.
• Work shift: Flex Time (India).