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Big Data Architect
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.


  • Multi-disciplinary Big Data Architect to design and build scalable and robust data platform, Marketing, CRM, campaign management and other back-office applications
  • Responsible for multi projects at once, being the main source of technical knowledge and experience, facilitating, building (hands-on) and mentoring RnD teams
  • Responsible for cloud infrastructure, architecture, micro-services, CICD,  production environments and for new innovative and complex developments
  • Responsible for research, analysis and performing proof of concepts for new technologies, tools and design concepts
  • Design and development core modules in our big data platform infrastructures (hosting in Google Cloud, services and Kubernetes, based on: Spark Core/Streaming Structure/SQL, Scala, Python, AngularJS, Node.js, Kafka, BigQuery, Redis, Elasticsearch, Google Cloud Machine Learning Engine and TensorFlow)
  • The platform handles huge amounts of data, through complex processing in batch and real time modes, complex data manipulation, using services, UI frameworks and interactive notebooks

What we expect:

  • 8+ years of practical experience with Scala/Python programming languages, excellent programming skills - functional programming, design patterns, data structures and  TDD approach - must
  • 6+ years hands-on experience building large-scale (petabytes), low-latency distributed systems using modern cloud computing technologies  (GCP - preferred , AWS) - must
  • 5+ years experience working in microservices environments, building state-of-the-art data-driven solutions - must
  • 5+ years experience in efficient data modeling using SQL/NoSQL solutions (BQ, ES, MySQL etc) -  must
  • Expert SQL queries knowledge -  you know how to write efficient, low-latency queries vs modern data-warehouse solutions (BQ - preferred, Redshift, Athana etc) - must
  • Experience building large-scale (petabytes) of Streaming/Batch ETL using modern processing engines (Spark - preferred, Beam, Flask etc)
  • Experience working with data streams systems (Kafka - preferred , Pub-Sub or Kinesis)  - must
  • Experience working Data Science/ML (production grade) infrastructure - big advantage
  • Experience working with notebooks solutions (Zeppelin, Jupyter)  - big advantage
  • Experience working storage solutions (hdfs, S3, GCS - preferred)  - big advantage
  • Experience working with CI&CD tools and devops solutions - big advantage
  • Experience working with dockerize and kubernetes solutions - big advantage
  • Team-Player, excellent communication skills vs software engineers, product and external clients - fluent English - must
  • BSc Computer Science/Data Management or equivalent practical experience - must
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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.
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