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AWS Data Engineer
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Salary
≈ $21k – $42k per year (Estimated)
Location
Hybrid (Hyderabad, India)
Seniority
Senior · 5+ years exp
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 10, 2026. EXL scores B on the Alion truth index.
Overview
Company
Impact
Profile match
EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
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
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
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