Big Data Engineer with Scala and Spark Offline

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

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

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)

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 possibility for relocation