Eneba
Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.
Data Engineer
February 3
Eneba
Eneba is an online platform that offers a wide range of video games, gaming-related eCards, and gift cards. Users can easily purchase cheap games for various platforms, including PC and gaming consoles, and benefit from personalized game deals through a loyalty program. Eneba also provides an opportunity for businesses to sell their products on the platform, creating a marketplace for gamers and developers.
📋 Description
• We’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. • Our marketplace supports more than 10m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. • We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. • Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. • We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. • We want to foster a healthy data culture across organization and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. • Our team gathered ML experts who are creating amazing machine learning models. • Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions.
🎯 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.
🏖️ 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.
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