Hybrid AWS Data Engineer

Posted last week

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About the role

  • Data Engineer translating business needs into data models at Trans America. Responsibilities include data architecture direction and addressing integration challenges with SQL and AWS services.

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 **

Job title

AWS Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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