Data Engineer
EnebaJob Summary
Eneba is a technology company building an open marketplace for gamers. The Data Engineering team is responsible for creating and maintaining data pipelines, collaborating with ML engineers to design automation processes, and building data infrastructure. As a Data Engineer at Eneba, you will work on improving internal processes, designing new data models, and implementing necessary modifications. You will have the opportunity to join an international team, participate in various bonus systems, and enjoy flexible work arrangements. With a focus on data-driven decision making, Eneba aims to grow as a data-driven organization. The company values personal and professional growth, providing well-defined feedback and promotion processes. If you are passionate about data engineering and want to contribute to a unique product, apply for this role.
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
- 3+ years of experience in data engineering or in a similar role.
- Proficiency in Terraform for managing infrastructure as code.
- 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.
- Experience with AWS, Azure, or other Kubernetes platforms is highly desirable.
- Familiarity with Databricks would be a significant advantage.
