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Job Type

Full Time

Job Description

Job Summary

Data Engineer

Key Responsibilities

  • Develop and manage scalable ETL/ELT processes using modern technologies and

    AWS-native tools

    .
  • Partner with business and engineering teams to translate data needs into effective technical solutions.
  • Architect and implement data warehouses, particularly using

    Amazon Redshift

    , and apply best practices in dimensional modeling.
  • Tune and maintain data workflows to ensure speed, scalability, and fault tolerance.
  • Perform data validation and implement monitoring solutions to ensure data accuracy and availability.
  • Enable data analysts and business users by providing well-structured and consumable datasets for reporting and dashboards.

Required Skills

  • Expert-level Python

    programming skills for data wrangling and pipeline development.
  • Advanced SQL

    abilities, including query tuning and data transformation logic.
  • Proficiency in AWS services

    like

    S3, Glue, Lambda, and Redshift

    .
  • Deep understanding of

    Redshift internals

    , with a strong grasp of performance tuning and storage optimization.
  • Practical experience with building reusable data models and maintaining production-level data schemas.
  • Familiarity with

    Git for version control

    ,

    CI/CD tools

    , and workflow orchestration platforms like

    Airflow

    or

    Step Functions

    .

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