Data Engineer
2 tygodni temu
Our Client:
A global logistics and transportation provider that offers a comprehensive range of services, including freight forwarding, supply chain management, and warehousing solutions. The company operates across air, sea, and road transportation, catering to diverse industries worldwide. It is known for its ability to deliver tailored logistics solutions, leveraging advanced technology and a robust global network to ensure efficient and reliable operations. This organization prioritizes innovation, sustainability, and customer-centricity, striving to optimize supply chains and support businesses in achieving their goals.
Main tasks: Designing and building data pipelines consuming from our Enterprise Data Platform and providing data for insights, profiling, and advanced analytics.
Requirements
- Highly skilled data engineer with basic understanding of data science, machine learning and Al needs from the data perspective.
- Strong computer science background and coding skills.
- Java, Python & SQL must have.
- Event streaming: Confluent Kafka, Kafka streams, KSQL.
- Logging & Monitoring: Elastic, Kibana, Grafana, Logstash, FluentD.
- Cloud: Azure, Databricks (must have), GCP.
- Containerization & Orchestration: Docker and Kubernetes.
- Version control: Azure DevOps, GIT.
- Database technologies: Mostly MongoDB Atlas (and some PostgreSQL)
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