2 months ago
Hyderābād, IndiaSenior
Responsibilities
- Translate business needs into data models that support long-term solutions.
- Reverse-engineer physical data models from databases and SQL scripts.
- Analyze data-related system integration challenges and propose appropriate solutions.
- Support data architecture direction, including data movement approaches and technology strategy.
- Develop and work with ETL processes, SQL, data models, and AWS data services.
Requirements
- Require 5+ years of experience as a Data Engineer.
- Require advanced SQL querying skills, including joins, subqueries, common table expressions, and aggregation.
- Require strong expertise in ETL processes and data modeling concepts, including star and snowflake schemas.
- Require experience with Snowflake, SQL, ETL, and CI/CD.
- Seek knowledge of AWS services such as S3, Athena, Glue, and EMR/Spark, with emphasis on S3 and Glue.
- Require good knowledge of Python.
- Require a bachelor’s degree in computer science, Software Engineering, MIS, or an equivalent combination of education and experience.
Benefits
- Hybrid work arrangement in Gurugram.
Tech Stack
Categories
Data Engineering
About EXL
EXL provides data analytics, AI, and digital operations services for enterprises in insurance, healthcare, banking, and other regulated industries. It delivers consulting, managed services, and technology platforms to improve decision-making, risk management, and operational efficiency. Founded in 1999 and headquartered in New York, EXL is a public company listed on the NASDAQ (ticker: EXLS).