Enable data access by creating and maintaining data pipelines.
Collaborate with ML engineers on automation for training, QC, and model release.
Build data infrastructure for analytics, hypothesis testing and company metrics.
Identify and implement improvements to internal processes to optimize data delivery.
Design new and improve current patterns for data models and modifications.

🎯 Requirements

5+ years of data engineering experience.
Extensive Apache Spark experience using Python.
Familiarity with Databricks or Snowflake-like platforms.
Experience with AWS, Azure, or Kubernetes platforms.
Hands-on Git version control experience.
Strong SQL knowledge.

🎁 Benefits

Employee Stock Options program
Opportunity to scale a unique product
Bonus systems: performance, referral, extra leave, learning budget
Paid volunteering opportunities
Work location of your choice: office, remote, travel
Personal and professional growth with clear promotions

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