Senior Big Data Engineer (Gaming)

Remote (Ukraine only) Big Data

Required skills

ETL / expert
AWS / strong
SQL / strong

We are inviting a skilled Big Data Engineer who knows how to build accessible and reliable solutions and contribute to developing a Data Platform from scratch.

Besides project activities, you will be a member of the Big Data Competence Center. We are collecting the best engineering & technology practices uniting them into one place to provide the best technical excellence services for our clients.

Customer

Our client is UK based game development company with an ambitious goal to make their data approach more structured and well performed. They understand the value and benefits of Data. That’s why they want to build a proper Data Platform.

Project

You will be a part of the data engineering team that will design and implement a novel approach from scratch to the existing Data Platform. Improve Data Platform’s ability to provide comprehensive analytics and cope with increasing data volumes from several data sources. Use Upsolver, a cutting-edge ETL tool, to create a flexible and scalable data flow of game events from hundreds of devices worldwide.

Requirements

  • Expertise with at least one of cloud providers like AWS or Google Cloud
  • Background with designing and developing ETL data pipelines based on any mainstream processing framework
  • Experience with designing and developing Data Lakes and Data Warehouses
  • Solid knowledge of SQL
  • Familiarity with database fundamentals, such as ACID, snowflake schema, facts, and dimensions


Would be a plus:

  • Experience in designing or developing data platforms on top of AWS stack (S3, Redshift)
  • Experience with BI/dashboarding tools such as Tableau, PowerBI, Sisense, etc.

Responsibilities

  • Design and implement a highly scalable Big Data Platform in an AWS environment
  • Develop data pipelines to collect, aggregate, and serve large-scale data volumes using Upsolver and modern Data lake house technologies
  • Design Data Lake and Data Warehouse based on S3, Redshift, and Snowflake
  • Be an active and engaged owner of data infrastructure
  • Collaborate with Product and Engineering teams to iterate on 
the roadmap
  • Implement best practices for data distribution, optimization of Data Platform

WHY US

  • Health & Legal support
  • Discount program
  • Sport activities
  • Outstanding offices
  • Comfortable place in a cozy room
  • Continuous education
  • Flexible schedule
  • Remote work
  • Diversity of Domains & Businesses
  • Variety of technology

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