AWS Data Engineer
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What you'll do
- 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).
What they're looking for
- 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 knowledge of Python
- Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Nice to have
- Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
Company
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