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 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.

Senior Data Engineer - Key Responsibilities :

- Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.

- Implement and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Delta Lake to support analytics and reporting needs.

- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality, reliable datasets.

- Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency across Azure cloud environments.





- Automate data integration and transformation tasks using Azure Functions, Logic Apps, and scripting languages like Python.

- Mentor junior engineers and foster a collaborative team environment. - Essential Qualifications :

- Bachelor’s degree in computer engineering, Computer Science, or a related discipline

- Experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing workplace.

- Advanced SQL programming expertise (PL/SQL, T-SQL)

- Experience in Enterprise Data & Analytics solution architecture

- Experience in Python Programming

- Experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions

- Experience designing data models aligning with business requirements and analytics needs.

- Experience defining and implementing data security standards, including encryption, auditing, and monitoring.

- Strong analytical skills and a passion for intellectual curiosity. - Preferred Skills :

- Experience setting up and operating data pipelines using Python or SQL

- Familiarity with DevOps processes (CI/CD) and infrastructure as code

- Knowledge of Master Data Management (MDM) and Data Quality tools

- Experience developing REST APIs using Java Spring Boot, Python

- Experience building and supporting AL/ML software solutions





- Familiarity with stream-processing systems (e.g., Event Hubs, Storm, Spark-Streaming)

- Experience with API integrations (RESTful, SOAP) for both internal and external systems to enhance data flow and automation.

- Experience working in Agile environments, familiarity with Agile tools like Jira or Azure DevOps.

- Experience in data and analytics within the Life Sciences industry is a plus. - Required Experience/Skills :

- Technical Skills**:

- SQL programming

- ETL design

- Python

- Cloud: Azure

a) Data Pipeline, Storage & Devops

ETL (Build Data Pipeline) :SQL , Python, Pyspark (ETL Platform: Azure Data Factory/ Databricks) & Streaming (e.g., Event Hubs, Storm, Spark-Streaming)

Storage (Azure Data Lake, Cosmos DB, Blob, Azure SQL Database)

CI/CD - GitHub and Azure DevOps; and Agile environment (Jira) - Qualifications

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

Certifications

Certified Data Management Professional - 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 Effectiven

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