Job Profile:
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 contemporary 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
📌 Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram