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AWS Data Engineer

Job Description - AWS Data Engineer

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



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