Our client:
International engineering services company develops architecture of the e-commerce services for the largest retailers in the US, enterprise high-load services with millisecond response time. They improve development processes by introducing Agile, test automation, and CI/CD processes. The company focuses on Big Data analytics, scalable omni-channel services, DevOps, and cloud enablement.
Looking for an enthusiastic and technology-proficient Big Data Developer, who is eager to participate in design and implementation of a top-notch Big Data solution to be deployed at massive scale.
Responsibilities:
· Participate in design and development of Big Data analytical applications
· 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 inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale
Requirements:
· Strong knowledge of Scala/Python
· 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
· Desire and ability for quick learning of 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:
· 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 trips to the US or Europe and possibility for relocation
Подраздел:
Big Data Hadoop Spark Kafka