Backend Data Engineer

Israel, Tel Aviv

GPO EMEA - Engineering

About PayU

PayU, a leading payment, and Fintech company in 50+ high growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East, and Africa, is redefining the way people buy and sell online for our 200.000+ merchants and millions of consumers. As a leading online payment service provider, we deploy more than 300 payment methods and PCI certified platforms to process approximately 1.2 million payments every single day.
2 years ago PayU acquired Zooz. The Engineering group at ZOOZ brings together Software design, Infrastructure Management/Design and Operations and Engineering. As a team, we challenge and mentor each other to do the best work of your career.

About the Role

You’ll be a part of a rapidly growing team working across the technical organization comprised of other Engineers, Designers, and Product Managers. 
Be part of a new global Data Engineering team that provides Data as a Service for both internal purposes and to our customers. You will be involved in designing the architecture of new data systems and responsible for building scalable, robust, and high-quality infrastructure to support our global cloud-native data platform.

Our stack includes Spark, Airflow, Druid, Kubernetes, Kafka, GitLab, AWS, Scala(Play, Akka, HTTP4S, Cats, Tapir, ZIO), NodeJs, Python. We are looking for an engineer who is passionate about data and excited to learn and apply new technologies.

What you’ll be doing

  • Designing architecture and suggesting new technologies and tools.
  • Designing, developing, testing, deploying, and monitoring in-house services and tools to support our global data infrastructure.
  • Working closely with engineering teams, data scientists, and product managers to support features on top of the data.
  • Performing code reviews and prioritizing the requirements for the team; understanding the business needs.
  • Evaluating  and deploying new technologies to expand our data tech-stack and support our products requirements.

What are we looking for

Mandatory

  • Proven experience of more than 3 years with Scala, Java, and Nodejs.
  • At least 2 years of hands-on experience deploying production-quality code.
  • Hands-on experience with Big data tools and streaming technologies: Spark, Airflow, Kafka, etc.
  • Experience with AWS services such as EC2, EMR, RDS,​ or other cloud technology.
  • Experience with distributed systems and microservices architecture.
  • At least 2 years of experience with Relational SQL and NoSQL databases.
  • At least 2 years of proven experience working on architecture, business logic processes, data warehouse modeling, and insight delivery.
  • Proven experience with data lake solutions.
  • In a nutshell, passion for programming and not just for a programming language.

Very nice to have

  • An understanding of  CI/CD pipelines.
  • Proven experience with Kubernetes.
  • BS or MS in Computer Science, Engineering or related technical discipline or equivalent experience.

 

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