Sr. Data Engineer 4B

1401 Genpact India Pvt. Ltd.; Lucknow; Hybride; INR 1 500 000 - 1 900 000; Plein temps

Résumé du poste

Genpact Ltd. in Lucknow, India, seeks a Senior Data Engineer to design and optimize complex data pipelines and integration frameworks, building scalable data platforms for enterprise clients.

You will implement CI/CD, observability, and cost-aware cloud practices while mentoring junior engineers and delivering reusable assets.

This hybrid role offers opportunities to work on cutting-edge AI and data initiatives within Genpact's AI Gigafactory, driving measurable business impact.

Qualifications

• Bachelors in CS/DS/Statistics with Masters in DS preferred.
• Cloud data engineering skills and certifications valued.
• Experience with large-scale data platforms and modern data tooling required.
• Azure Databricks and Snowflake expertise highly desirable.

Responsabilités

• Develop and optimize complex data pipelines and integration frameworks.
• Perform data reconciliation, transformation development, and performance tuning.
• Design and execute unit, integration, and system testing activities.
• Implement CI/CD processes and engineering automation standards.
• Build monitoring, observability, and alerting capabilities.
• Optimize platform usage through cloud cost-aware engineering practices.
• Troubleshoot complex production and performance issues.
• Mentor junior engineers and contribute reusable engineering assets.

Connaissances

Apache Kafka

Apache Spark

Cloud Platform

Databricks

Data Engineering

Data ETL

Data Integration

Data Quality

Data Stream

Data Warehousing

Docker

Git

Kubernetes

Performance Optimizations

Process Orchestration

Python

QA

Snowflake

Monitoring

English Proficiency

Formation

Bachelors - Computer Science

Bachelors - Data Science

Bachelors - Statistics

Masters - Data Science

Azure Solutions Architect Expert

Databricks Certified Associate Developer for Apache Spark 3.0

Databricks Certified Data Engineer Professional

Microsoft Certified: Azure Data Engineer Associate

Description du poste

Sr. Data Engineer 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

Develop and optimize complex data pipelines and integration frameworks. Perform data reconciliation, advanced transformation development, and performance tuning. Design and execute unit, integration, and system testing activities. Implement CI/CD processes and engineering automation standards. Build monitoring, observability, and alerting capabilities. Optimize platform usage through cloud cost-aware engineering practices. Troubleshoot complex production and performance issues. Mentor junior engineers and contribute reusable engineering assets.

Qualifications

Bachelors - Computer Science, Bachelors - Data Science, Bachelors - Statistics, Masters - 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 Language Proficiency - English (OVERALL - Proficient - C2)

Additional Job Location - Job Type Regular Master Skill List - Data Engineering Remote Type - Hybrid Work Shift - Flex Time (India)

Why join Genpact?

• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands‑on experience, mentorship, and world‑class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day
• Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity or physical or mental disability or any other characteristic protected by applicable laws.

Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.