AWS Data Engineer

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Skills you'll use

What you'll do

• Understand and translate business needs into data models supporting long-term
• Perform reverse engineering of physical data models from databases and SQL
• Analyse data-related system integration challenges and propose appropriate
• 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).

Who can apply

• 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

About EXL

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