Your mission
- Contribute to the roadmap in collaboration with Product Owners and Engineering Managers to upgrade our data pipelines to the next level of quality and reliability.
- Design and implement the APls, pipelines, and read models to publish our datasets.
- Maintain and optimise our datasets and their schemas.
- Guarantee data integrity and availability to our consumers.
- Provide state of the art environments and tools to support the development team.
- Share your expertise with team members, bringing help and guidance when needed. Connect to other engineers and bring insights to help us re-architect existing systems for scale and extensibility.
It will be a match if you
- Have at least 8 years of experience as a Software Engineer / Data Engineer, including significant hands-on experience with using Kafka and Scala in a production environment, especially with Cats or Spark.
- Can design and implement RESTful APIs.
- Have experience with DevOps and Infrastructure as Code practices, especially on AWS.
- Have experience with Data Processing Orchestration (Airflow).
- Are fluent in English and have experience working in an international environment.
It will be better if you have experience with
- Functional Programming frameworks such as fs2…
- Big Data Management : DeltaLake, Medallion, Lineage…
- Terraform, gitops, Kubernetes…
- Machine learning, OCR, NLP…
- ElasticSearch, GraphQL…
- Python
- SQL schema and PostgreSQL optimisations
- AWS WAF principles
0 applies
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