Sr. Data Engineer - Data Engineering 4B

Job Title: Sr. Data Engineer - Data Engineering 4B Company: Genpact Job Category: Data Science Roles & Responsibilities: At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry\-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large\-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Job Description Responsibilities: 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.Qualifications 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 \- MicrosoftRequired 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 MonitoringLanguage HybridWork Shift \- Work Location: West Bengal, India Availability: Full time

Bachelors \- Computer Science, Bachelors \- Data Science, Bachelors \- Statistics, Masters \- Data ScienceCertifications EnglishLanguage Proficiency \- Key Skills: Data Science, Python, Statistics Salary: Not disclosed