Data Engineer

Marina Popruzhenko
Marina Popruzhenko
Operation Manager


Kyiv, Ukraine | Anywhere, Worldwide

Our client RubyPlay is hiring a Data Engineer

What will you be responsible for?

  • Take a leading role in all parts of the lifecycle of our Data product, including requirement analysis, designing the technical architecture, development, testing and deployment of the platform
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of internal and external data sources
  • Build analytics tools that utilise the data pipeline to provide actionable insights into operational efficiency and key business performance metrics.
  • Provide database expertise to our Platform product development, aiming at benchmark systems, analyzing bottlenecks and propose solutions to scale our gaming system
  • Work with stakeholders including the Product, Engineering and Commercial teams to assist with data-related technical challenges and support their data infrastructure needs.

What do we expect from our perfect candidate?

  • Advanced working SQL knowledge and experience working with various types of databases
  • Extensive industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
  • Experience building and optimising data pipelines, architectures and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Experience in manipulating, processing and extracting value from large disconnected datasets.
  • Experience with Business intelligence tools such as Tableau or Power BI
  • Experience in using monitoring tools such as Grafana
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • English – professional working proficiency

Nice to have:

  • Experience coding and automating processes using Python or R.
  • Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.), a big plus
  • Experience with Vertica DB
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, a plus

Benefits of working with us:

  • Challenging tasks to feel productive
  • Opportunity to visit paid conferences/training/workshops to feel fresh minded
  • Free English classes with native speakers to feel your growth
  • Medical insurance to feel safe
  • 20 paid vacation days/7 paid sick leaves to feel humane
  • Friendly working environment to feel excited

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