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AWS Data Engineer
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Job Info
- Job Identification12743
- Posting Date04/13/2026, 02:03 AM
- Job RoleData engineer-Engineering
- Experience (In Years)3-6
- Job LocationGurugram
Job Description
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
Responsibilities
-
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).
Qualifications
- Bachelor Degree
About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
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