Role: Data Engineer
Location: Gurugram (Hybrid)
Key Role and Responsibilities:
• Understand and translate business needs into data models supporting long-term
solutions.
• Perform reverse engineering of physical data models from databases and SQL
scripts.
• Analyse data-related system integration challenges and propose appropriate
solutions.
• Assist with and support setting the data architecture direction (including data
movement approach, architecture/technology strategy, and any other data
related considerations to ensure business value).
Requirements:
• 5+ Years of experience as a Data Engineer
• Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries,
CTEs, aggregation)
• Strong knowledge of joins and common table expressions (CTEs)
• Experience in Snowflake, ETL, SQL, CI/CD
• Strong expertise in ETL process and with various data model concepts
• Knowledge of star schema and snowflake schema
• Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a
major emphasis on S3 and Glue
• Good knowledge of Python
Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent
combination of education and experience
Key Skills: SQL, Snowflake, Python, AWS
Responsibilities
Key Role and Responsibilities:
• Understand and translate business needs into data models supporting long-term
solutions.
• Perform reverse engineering of physical data models from databases and SQL
scripts.
• Analyse data-related system integration challenges and propose appropriate
solutions.
• Assist with and support setting the data architecture direction (including data
movement approach, architecture/technology strategy, and any other data
related considerations to ensure business value).
Bachelor Degree
Skills Required
- 5+ years experience as a Data Engineer
- Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
- Experience with Snowflake
- Experience with ETL processes and data modeling concepts
- Experience with CI/CD
- Knowledge of star schema and snowflake schema
- Good knowledge of Python
- Familiarity with AWS services (S3, Athena, Glue, EMR/Spark), emphasis on S3 and Glue
- Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
