Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units.

As a Data engineer, Candidate will work on the assignments for one of our Utilities clients. Collaborating with cross-functional teams and stakeholders involves gathering data requirements, aligning business goals, and translating them into scalable data solutions. The role includes working closely with data analysts, scientists, and business users to understand needs, designing robust data pipelines, gold layer datasets and ensuring data is accessible, reliable, and well-documented. Regular communication, iterative feedback, and joint problem-solving are key to delivering high-impact, data-driven outcomes that support organizational objectives.

This position requires a proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations.

Design, build, and maintain scalable data pipelines to support analytics, reporting, and advanced modeling needs.
Collaborate with consultants, analysts, and clients to understand data requirements and translate them into effective data solutions.
Ensure data accuracy, quality, and integrity through validation,



cleansing, and transformation processes.
Develop and optimize data models, ETL workflows, and database architectures across cloud and on-premises environments.
Support data-driven decision-making by delivering reliable, well-structured datasets and enabling self-service analytics.
Provides seamless integration with cloud platforms (Azure), making it easy to build and deploy end-to-end data pipelines in the cloud
Scalable clusters for handling large datasets and complex computations in Databricks, optimizing performance and cost management.

Client Engagement Experience and collaboration with cross-functional teams

- Data Engineering background in Databricks
- Bachelor's/master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas

- 4+ years' experience must be in Data engineering.
- Hands on experience on SQL, Python, Databricks, cloud Platform like Azure etc.
- Prior experience in managing and delivering end to end projects
- From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.

You will also learn effective teamwork and time-management skills - key aspects for personal and qualified growth
At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

📌 Data Scientist / Data Engineer (m/w/d) (Gurugram)
🏢 EXL
📍 Gurugram