Data Engineer, Product

Enable efficient data access by creating and maintaining data pipelines.

• Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
• Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.
• Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes.
• Design new and improve current patterns for building data models and implement necessary modifications.

• 5+ years of experience in data engineering or in a similar role.
• Extensive experience with Apache Spark using Python for large-scale data processing.
• Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage.
• Experience with AWS, Azure, or other Kubernetes platforms is a huge plus.
• Must have hands-on expertise with Git for version control and collaboration.
• Solid knowledge of SQL, essential for querying and managing relational databases.

• Opportunity to join our Employee Stock Options program.
• Opportunity to help scale a unique product.
• Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
• Paid volunteering opportunities.
• Work location of your choice: office, remote, opportunity to work and travel.
• Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.