Posted:11 hours ago
Ready to turn bold ideas into real-world impact?
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.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
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.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
Responsibilities: 1. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design and build scalable and reliable data pipelines and ETL processes; 3. Ensure data quality, integrity, and security across all data systems; 4. Collaborate with stakeholders to understand and address business requirements; 5. Provide technical guidance and mentorship to junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and efficiency; 8. Develop and maintain documentation for data processes, systems, and infrastructure.
Implement Reltio MDM and related tools.
Qualifications
Bachelors - Computer Science, Bachelors - Data Science, Bachelors - Statistics, Masters - Data ScienceCertifications
Databricks Certified Associate Developer for Apache Spark - Databricks Academy, Microsoft Certified: Azure Data Engineer Associate - Microsoft, Oracle Database 12c Certified Implementation Specialist - OracleRequired Skills
Apache Airflow, Apache Kafka, Apache Spark, API Integration, AWS Data Pipeline, CI/CD, Databricks Platform, Data Engineering, Data ETL, Data Integration, Data Modeling, Data Quality, Git, Performance Tuning, Secure Coding Practices, Snowflake (Platform), Structured Query Language (SQL), System Performance Monitoring, Terraform (Software)Language
English, EnglishLanguage Proficiency -
Proficient - C2Additional Job Location -
Job Type
RegularMaster Skill List -
Data EngineeringRemote Type -
RemoteWork Shift -
Any (India)Free courses, interview questions and practice for each skill.
Remote
Full Time
Genpact
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