Data Engineer, Platform

Eneba is building an open, safe and sustainable marketplace for gamers, supporting over 20 million active users. The Data Engineer will enable efficient data access and collaborate with machine learning engineers to build data infrastructure and optimize data delivery processes.

Responsibilities:

• 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

Requirements:

• 5+ years of experience in data engineering or in a similar role
• Extensive experience with Apache Spark using Python for large-scale data processing
• Must have hands-on expertise with Git for version control and collaboration
• Solid knowledge of SQL, essential for querying and managing relational databases
• 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