Senior Big Data Engineer

Why we are recommending

• Opportunity to work on bleeding-edge projects.
• Opportunity for long business trips to the US and possibility for relocation.

Responsibilities

• Participate in the design and development of a big data analytics application.
• Design, support and continuously enhance the project code base, 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 massive scale.

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 of 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.

Will be a plus

• 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).

Company offers

• Flexible schedule.
• Benefits program.
• Social package - medical insurance, sports.
• Corporate social events.
• Professional development opportunities.
• Opportunity for long business trips to the US and possibility for relocation.