Big Data Infrastructure Developer
Data EngineeringHerzliya

The Data Engineering department is responsible for full-stack design and development of the company's central data & ML services and business platforms. The department is responsible for the overall projects, design, architecture and development of huge scale and very challenging cloud-based Big Data, machine learning and business applicative platforms for ensuring excellence in the performance of business aspects including games & product design, marketing, retention, monetization, etc. Department solutions support the optimization of the company's overall business performance.

Job responsibilities:

  • Responsible for design and development core modules in our big data platform infrastructures (hosting in Google Cloud, based on Hadoop ecosystem, Spark Core/Streaming/SQL, Scala, Python, AngularJS, Node.js, Kafka, Impala, Elasticsearch, Google Cloud Machine Learning Engine and TensorFlow) – our big data platform handles huge amount of information, through complex processing in batch and real time modes, complex data searches, using pluggable services and UI frameworks
  • Responsible for our production environments and for new developments
  • Responsible for research, analysis and performing proof of concepts for new technologies, tools and design concepts

Hard skills:

  • 5+ years of experience working in Java/Scala/Python or other high level programming language
  • Strong understanding of software architecture paradigms (OOP, FP) and data structures
  • Strong understanding of design patterns and clean architecture, infrastructure development skills
  • Experience working on large scale distributed systems and distributed programing
  • Experience working with Linux OS systems and Bash scripting languages
  • Experienced with building scalable stream-processing and/or ETL batch processing - using solutions such as Spark/Spark Streaming
  • Experience working with development testing methodologies
  • Strong SQL skills and experienced with NoSQL databases (such as HBase, Cassandra, MongoDB and Impala) and relational databases (such as MySQL and SQL Server)
  • Experience working with CI/CD tools (Jenkins, Chef etc). Bachelor’s degree in Computer Science or related

Additional hard skills:

  • Experience working with cloud service (AWS, GCP, Azure) - an advantage
  • Proven experience working with GitHub – an advantage
  • Experience working with Node.js – an advantage
  • Experience working with Docker/Kubernetes Engine – an advantage
  • Knowledge in hadoop ecosystem- an advantage
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What's next?

Send us your CV
Found the perfect job for you? Excellent. Send us your resume and a link to your portfolio, if applicable.
Test task
Our recruiters will ask you to perform a test task. This will allow you to demonstrate your professional skills and give us the chance to evaluate your work. If your test task meets our requirements, you will be invited for an interview with the technical team lead.
Professional Interview
This will give you the opportunity to tell us about your experience and allow us to explain the technical aspects of the job. If you live a long way from the studio, we can arrange a Skype interview instead.
Meeting with HR
After the professional/team lead interview, you will meet with our HR specialist. They will give you more information about your development prospects in the company and provide details regarding our employee benefits program.
Meeting with the VP / CEO
In some cases, depending on the position, you will be invited to meet the VP / CEO, for a final decision.
Ready to start
Once the above stages are complete, we will invite you to our studio to make a formal job offer. If you live in another city or country, you can use our relocation program to help you hit the ground running.
First day at work
You're ready to begin life at Plarium. Welcome, friend.
Keeping in touch
We keep all resumes and job applications on file. Don't give up if you're unsuccessful first time round - we'll contact you as soon as a suitable position appears.