AWS Data Engineer

EXL

AWS Data Engineer in a hybrid role translating business needs into data models and supporting architecture decisions for data integration. Based in Gurugram, collaborating on data engineering challenges.

Posted 5/18/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSETLPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Health insurance and wellness programs
401(k) retirement plan
Paid time off
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLETLdata modelingadvanced SQL queryingjoinscommon table expressionsstar schemasnowflake schemaPythondata architecture