AWS Data Engineer
Summary
Designs and builds data pipelines and models in AWS and Snowflake to turn business needs into scalable analytics solutions using SQL, Python, and ETL workflows.
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