Data Engineer

Summary

Join Eneba's Data team as a Data Engineer and contribute to building a robust data foundation for a rapidly growing gaming marketplace. You will play a key role in creating and maintaining data pipelines, collaborating with ML engineers, and building data infrastructure for analytics and company metrics. This position requires 3+ years of experience in data engineering, proficiency in Terraform and Apache Spark, and solid SQL knowledge. Eneba offers a competitive salary, employee stock options, various bonus systems, paid volunteering opportunities, flexible work arrangements, and opportunities for personal and professional growth.

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

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

Preferred Qualifications

• Experience with AWS, Azure, or other Kubernetes platforms is highly desirable
• Familiarity with Databricks would be a significant advantage
• Good English level is required, proficiency is preferred

Benefits

• 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