EXL
EXL
EXL is a business consulting and services company that helps organizations use data, analytics, and technology to improve operations and make better decisions. Its work includes operations management, decision analytics, and digital transformation, with experience supporting clients in healthcare, insurance, finance, and logistics. EXL combines data science with practical business expertise to develop solutions tailored to each organization’s goals, operating model, and industry context.

AWS Data Engineer - Pune Hybrid

Join EXL as an AWS Data Engineer developing data models, integration solutions, and data engineering capabilities with SQL, Snowflake, ETL, Python, and AWS services.

Description

  • Translate business requirements into durable data models for long-term solutions
  • Reverse-engineer physical data models from databases and SQL scripts
  • Evaluate data integration challenges and recommend suitable technical solutions
  • Support data architecture decisions covering data movement, technology strategy, and related considerations that deliver business value
  • Build data engineering solutions for EXL across sectors including insurance, healthcare, banking and financial services, media, and retail

Requirements

  • At least five years of professional experience in data engineering
  • Strong command of SQL
  • Advanced SQL skills, including joins, subqueries, common table expressions, and aggregations
  • Thorough understanding of joins and common table expressions
  • Hands-on experience with Snowflake, ETL, SQL, and CI/CD practices
  • Strong expertise in ETL processes and data modeling concepts
  • Knowledge of star and snowflake schemas
  • Experience with AWS services including S3, Athena, Glue, and EMR/Spark, with particular emphasis on S3 and Glue
  • Proficiency in Python
  • Bachelor’s degree in computer science, software engineering, MIS, or an equivalent combination of education and experience
  • Willingness to work in a hybrid arrangement, with Gurugram as the primary location and Pune, Maharashtra, India also listed

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