Data Engineer

Bengaluru, Karnataka
Work Type: Full Time

About Drivetrain

Drivetrain is on a mission to help companies scale. We build software to simplify planning and monitoring for complex businesses.

Drivetrain is looking for a Data Engineer to join our team.

Why Drivetrain

  • Remote-friendly company:   Drivetrain aims at bringing together the best and the brightest minds, no matter where they are. We value the need for work and personal life balance. Whether you need to clock out early to pick up kids and attend appointments or need the morning to finish the run that refreshes you, we are mindful of it. The company HQ is in Bangalore and hence we keep some core hours in IST overlapping across the team.

  • Autonomy:   We’re here to guide you, but you define your own trajectory. We encourage you to explore the opportunities within Drivetrain that give you the most energy and we’ll build a framework with you to help you succeed in them.

  • Customer-Centric:  We talk to customers to decide what to build to derive the utmost value. We are all working towards the same thing: building products that make our customer’s life easy. You’ll create an impact in any role you take up at Drivetrain.

  • Transparency by default:  Drivetrain thrives on being open and transparent in all areas of work, especially among the employees. This enables everyone to make the best decisions.

What you’ll be doing

  • Build and monitor large-scale data pipelines that ingest data from a variety of sources.
  • Develop and scale our DBT setup for transforming data.
  • Work with our data platform team to solve customer problems.
  • Use your advanced SQL & big data skills to craft cutting edge data solutions.


  • 1-5+ years in a data engineering role(high-growth startup environments highly preferred).
  • Expert-level SQL skills.
  • 1 year experience in DBT is required.
  • At least 1 year experience with a leading data warehouse is required.
  • Expertise with big data technologies like Hadoop, Spark, Druid preferred.
  • Track record of success in building new data engineering processes and an ability to work through ambiguity .
  • Willingness to roll up your sleeves and fix problems in a hands-on manner.
  • Intellectual curiosity and research abilities.

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