Job Overview:

You will be working with the team that builds next-gen feature flagging and experimentation platforms which allows data, product and ML teams to run 10x more experiments with existing infrastructure. You will work with a team made up of veteran product builders from Airbnb, Snowflake and Slack, and the product is powering experimentation at some of the top companies around the world.


  • Work directly with customers to support their production deployments via email, chat, and video calls.
  • Optimise SQL queries and data models to support data analysis and performance improvement needs on large warehouses of data.
  • Monitor and troubleshoot ETL pipelines.
  • Implement fixes and enhancements on the application.
  • Required Skillset:

  • Excellent SQL knowledge and query optimisation techniques on data warehouses having on large volumes of data.
  • 2 to 7 Years of experience as a Data Engineer or in a similar function.
  • Excellent communication skills with customer empathy.
  • You are a good trouble shooter in SQL, ETL, Scheduling Systems.
  • Working knowledge in RDBMS like postgres.
  • Knowledge in any of BigQuery, RedShift, Snowflake or any other warehouse.
  • Knowledge and experience in troubleshooting Airflow pipelines.
  • Other requirements:

  • You are an expert in troubleshooting SQL on warehouses, Airflow pipelines.
  • You have excellent communication skills and are interested to learn new technologies on the role.
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