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AWS Data Engineer Trans America

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Bachelor's Degree • Python • SQL • ETL/ELT • 8 months ago

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Salary

≈ $20k – $42k per year (Estimated)

Location

Hybrid (Gurgaon, India)

Seniority

Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Feb 12, 2026. EXL scores B on the Alion truth index.

Overview

Company

Impact

Profile match

EXL

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.

exlservice.com • HQ: New York, United States • AI Consulting & Integration • Analytics & BI Consulting • Business Process Outsourcing (BPO) • 5000+ employees • Est. 1999

Tech stack of EXL

Role: Data Engineer

Location: Bangalore, Pune, Hyderabad, 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’s degree

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