Hybrid Data Engineer, S3

Posted 13 hours ago

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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

Data Engineer, S3

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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