Data Engineer
Details
- Status:
- Gearchiveerd
- Publicatiedatum:
- 29-6-2019
- Weergaven:
- 77
- Reacties:
- 4
- Op locatie:
- Utrecht
- FTE:
- 40 uur per week
Opdrachtomschrijving
· Deep understanding and application of modern data processing technology stacks 3+years (Hadoop, Spark, Hive, HBase, Kafka, etc.).
· Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
· Experience with data pipeline and workflow management tools such as Airflow, Oozie
· Ability to drive adoption of Data Engineering best practices and sharing your knowledge.
· Experience with deployments and provisioning automation tools (Ansible, Docker, CI/CD, Kubernetes).
· Programming experience (Python, Scala, etc).
· Agile/DevOps experience