Data Engineer, Palta

Job description

Palta is a venture studio focused on creating and developing world-class mobile consumer products. Over the last 5 years Palta has launched 10 startups, including Flo (global leader in female health apps with 37 mln MAU), Prisma (app of the year 2016, 150+ mln downloads), Simple Fasting (#1 fasting app in the US). Palta is a unique community of founders, investors and world-class experts focused on mobile consumer products.

We intend to create a data platform that would be used by the whole Palta portfolio for the following purposes

  • Product analytics
  • End-to-end marketing analytics
  • A/B-testing
  • Data lake for BI and DS teams
  • Keeping track of user-level data

Main focus

  • Design, develop and maintain data assurance frameworks for the data platform

  • Design and develop testing frameworks for the ETL jobs, BI reports and Dashboards and other data pipelines

  • Design and maintain data catalogue and other metadata structures

  • Track, monitor and document testing results

  • Work closely with the data quality and BI engineering teams

Job requirements


  • Good knowledge of SQL

  • Experience in Python development is mandatory

  • Experience working with cloud infrastructure (AWS, GCP, Azure)

  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework (DBT)

  • Experience with relational databases including one of the PostgreSQL or other

  • Experience with columnar databases including one of the Snowflake, Redshift, Greenplum or HP Vertica

  • Experience with creating DAGs on Apache Airflow

  • Experience with creating streaming pipelines on Apache Kafka

  • Knowledge of data quality / testing principles and frameworks

Why is working with us awesome?

  • Passionate and highly skilled international team
  • Palta is a large and rapidly growing Health&Fitness tech holding with proven track record of developing great products
  • Equity for each team member with clear 'exit strategy'
  • Market level comp
  • Work-life balance to suit everyone: flexible working hours, remote-friendly approach, loyal sick leave policy