Description

You will design, build, and support data pipelines and integrations as a senior individual contributor. Your focus is on ensuring data quality, reliability, and performance across production workflows.

Responsibilities

  • Build and maintain ETL processes using Python for data processing and automation.
  • Design and support scalable data pipelines that handle large datasets.
  • Execute complex SQL queries for data extraction, transformation, and validation.
  • Monitor production data workflows and resolve issues to ensure system reliability.

Required Skills

  • 5+ years of hands-on experience as an ETL developer.
  • Strong proficiency in Python for building data processing scripts and automation tools.
  • Expert-level SQL skills for extracting, transforming, and validating data.
  • Proven experience working with large datasets and data warehouses.
  • Ability to support production data workflows and perform root cause analysis.
  • Bachelor's degree in Computer Science, Engineering, or a related field.

Education

Bachelor's degree