Senior Big Data Engineer (Java/Spark)
Bucharest, Romania
3 zile în urmă
source : Just Join IT


SoftServe isn't just about technology it's about open-minded people who love technology and have everything they need to pursue their passion for creating innovation.

We are about people who create bold things, make a difference, have fun, and love their work. One of the bank divisions we cooperate with, enables and empowers the bank with an efficient, nimble, and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation.

Data team is responsible for developing and supporting the bank-wide enterprise data platform. The platform offers the bank’s businesses seamless and secure access to all of the bank’s data.

It provides facilities for building robust data pipelines for batch and real-time ingestion and computing of structured and unstructured data, offers businesses a wide range of advanced tools for developing business solutions on top of the data, and leverages artificial intelligence and machine learning.


A specialist showing the following skills, knowledge, and experience in

  • Engineering, taking responsibility for designing, developing, and maintaining data service components (e.g. ingestion and compute) for the in-house data platform
  • Software development with expertise in Java and Spark
  • Building enterprise Big Data Applications using Spark, Hadoop, Hive, etc.
  • Writing high-quality code with full automated unit test coverage (Junit, Mockito, etc.)
  • Web services (REST, SOAP) and experience in Microservices
  • Maven, Gradle, and DevOps environments using tools such as Git (Bitbucket), Continuous Integration (Jenkins), and Continuous Deployment (Fastlane)
  • Code quality tools : Sonar, Fortify, or NexusIQ (as an advantage)
  • Docker / Kubernetes

  • Cutting-edge technologies and toolchain in big data to build the bank’s data platform innovating and optimizing the workflows across data ingestion, compute, visualization, exploration, security, metadata management
  • R&D on new technologies and solutions to improve accessibility, scalability, and efficiency of the data platform
  • Creation of a blueprint and reference architecture for various data use cases
  • Cross-functional teams to define, design, and ship new features
  • Implementing the core practice of Agile, leveraging cloud-native architecture pattern using Test Driven Development (TDD), continuous integration / continuous delivery, in an on-premises or public-cloud environment, where everything is automated

  • Work on a fantastic project!
  • Establish trust and build relations with many stakeholders
  • Have a friendly and mature team
  • Be able to propose and implement solutions
  • Support your technical and personal growth we have a dedicated career plan for all roles in our company
  • Share many other advantages : attractive salary, modern office, benefits package, language classes and more
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