Senior Data Engineer

Company:
Location: Brussels-Capital Region

*** Mention DataYoshi when applying ***

Responsibility

The principle platform engineer is both lead engineer, team coach, technical and AWS cloud

architect.

The engineer (M/V/X)

  • leads the engineering of event-driven data products, data integrations and API’s
  • keeps an overview of the data features, participate in the feature software design and

follow-up the quality and delivery of the features;

  • continuously improves the quality and the way of working, by identifying improvements for

the blueprints, the platform, the applications and the way of working;

  • contributes to the data and cloud maturity of organisation, being and expert yet pragmatic

data and cloud advocate.

Part of the time he also does hands-on work if required, such as software design & the engineering of event stream processing for more complex features, including integrations with cloud services, API design etc.

Skills & experience

Hands-on, expert (administration, architectural) experience with:

  • Java, Spring Boot & it’s modules
  • GitOps, Git, CI/CD, configuration-as-code principles and tooling
  • HTTP, REST-style API’s with JSON (design, modelling and implementation)
  • Event-driven micro-services architecture
  • AWS services & IAM
  • Kubernetes (EKS) administration
  • Kustomize, Helm
  • Ansible, Terraform
  • Apache Kafka (MSK) administration, Kafka Connect
  • Event stream processing with Kafka Streams (in depth)

Hands-on, senior experience with (“the basics”):

  • Messaging with JMS / AMQP (RabbitMQ)
  • SQL & RDBMS
  • Docker, Maven
  • Prometheus & Grafana
  • Technical writing
  • Data engineering & DataOps
  • Data modelling
  • Airflow administration
  • Dbt
  • Platform thinking, evolutionary architecture
  • EAI patterns, CDC, DDDExperience with, notions of or profound interest in (“nice to have”):
  • gRPC, GraphQL
  • Akka
  • ELK stack
  • WSO2
  • Python
  • Sparx Enterprise Architect

*** Mention DataYoshi when applying ***

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