- 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
- Robust 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
📌 AWS Data Engineer (Pune)
🏢 EXL Service
📍 Pune
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