Data Engineer focusing on Azure solutions and data pipelines. Involves technical leadership and implementing data architecture in a hybrid work setup.
About the role
- Data Engineer managing database models and systems integration for business solutions. Collaborating on data architecture in hybrid setting for long-term project deliverables.
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
- Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Job title
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Not specified
Degree requirement
Tech skills
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