Description

Role Details:

This job is for someone who makes sure data is flowing smoothly, accurately, and without problems across the company.

You will:

  • Watch and monitor data systems to catch issues early
  • Investigate and fix data problems when something goes wrong
  • Work closely with the Lead Engineer and partners to solve technical challenges
  • Make sure the company meets performance and reliability targets (SLAs)
  • Handle incident response — find the root cause, fix it, and report it
  • Work with modern data tools like Python, SQL, Spark, Databricks, AWS services, and support data pipelines

It’s a hands-on role where you are responsible for:

  • Keeping data reliable
  • Maintaining high quality
  • Supporting system improvements
  • Helping prevent future issues

Experience Required:

  • 3+ Years

This job suits someone who likes problem-solving, understanding how systems work, dealing with large data, and working fast like in startup environments.