Requirements

— Strong knowledge of Scala
— In-depth knowledge of Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams)
— Understanding the best practices in data quality and quality engineering
— Experience with version control systems, Git in particular ability to quickly learn new tools and technologies

Responsibilities

— Participate in the design and development of a big data analytics application
— Design, support and continuously enhance the project codebase, continuous integration pipeline, etc.
— Write complex ETL processes and frameworks for analytics and data management
— Implement large-scale near real-time streaming data processing pipelines
— Work with a team of industry experts on cutting-edge big data technologies to develop solutions for deployment at a massive scale

Nice-to-Have Experience

— Knowledge of Unix-based operating systems (bash/ssh/ps/grep etc.)
— Experience with Github-based development processes
— Experience with JVM build systems (SBT, Maven, Gradle)

What we offer

— Opportunity to work on bleeding-edge projects
— Work with a highly motivated and dedicated team
— Competitive salary
— Flexible schedule
— Benefits program
— Social package — medical insurance, sports
— Corporate social events
— Professional development opportunities
— Opportunity for long business trips to the US and the possibility for relocation