Lead 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 robust 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.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Responsibilities :





- Design and implement scalable data pipelines and ETL processes using Azure Data Factory, Databricks, and other Azure services.
- Develop and optimize data storage solutions, including Azure Data Lake, Azure SQL Database, Snowflake, SQL and Python.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Ensure data quality, security, and compliance by implementing best practices for governance and monitoring.
- Perform performance tuning and optimization of data workflows and queries.
- Create documentation for data architecture, processes, and workflows to ensure knowledge sharing across teams.
- Work closely with analytics teams to enable advanced reporting and machine learning capabilities.

Qualifications we seek in you

Minimum Qualifications

- Bachelor’s degree in computer science, Information Technology, or a related field.
- Strong experience working in Azure data services, data engineering & transformation projects.
- Strong understanding of data warehousing, ETL processes, OLAP concepts and data modelling concepts
- Strong communication and collaboration abilities.
- Experience on Agile way of working

Mandatory Skills:

- Proficiency in Azure services such as Azure Data Factory, Azure Data Lake and Databricks.
- Strong programming skills in Python, SQL for data processing and transformation.
- Experience with ETL/ELT processes and designing data pipelines.
- Experience in Snowflake




- Knowledge of cloud architecture principles and best practices for scalability and security.
- Familiarity with CI/CD pipelines and DevOps practices for deploying data solutions.

Preferred Qualifications/ Skills

- Experience in Banking projects using Azure.
- Certification in Microsoft Azure (such as Azure Data Engineer Associate).
- Understanding of Power BI or other visualization tools for reporting purposes.
- Strong problem-solving skills and ability to work in a fast-paced workplace.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Certified Data Management Qualified - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle

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, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling

Language

English (required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Remote

Work Shift -

Evening Job

📌 Lead Data Engineer - Data Engineering 4c (Noida)
🏢 Genpact India
📍 Noida