Data Engineer
Vor 3 Tagen
Are you looking to work in an exciting environment with high-tech sensing solutions? Would you like to gain international business experience and take your next career step?
Your Responsibilities- You will work on the development of our hybrid (Cloud and Edge) IoT data infrastructure (Data Lake and MLOps).
- You will work on building a robust and scalable data catalogue to effectively manage metadata. This includes understanding and implementing best practices for data governance, management, and accessibility.
- You will work on a highly efficient storage layer to handle large amounts of sensor data (petabytes). The focus is on ensuring data integrity, speed, and scalability.
- In close collaboration with relevant teams and stakeholders, including Data Science, Operations and Business, you will perform the necessary requirements engineering.
- In close collaboration with other Data Engineers, ML Engineers, and Software Engineers, you will translate our business challenges into scalable data architectures.
- As an expert in our Data Engineering team, you will maintain your knowledge of current technologies, future trends and innovative methods through continuous training, cross-industry networking, and conference attendance.
- You have a technical degree, ideally in computer science.
- You have at least 2 years of professional experience in data engineering, ideally in the field of big data, IoT and the management of sensor data for data analysis and ML.
- You have excellent knowledge of state-of-the-art storage technologies and their productive use (no SQL, time series databases, document stores, graph databases, etc.).
- You have sound programming skills in development with Python or other programming languages.
- Experience with containerization (Docker and Kubernetes).
- You have excellent analytical skills and a very quick grasp.
- In-depth knowledge of AI workloads and MLOps.
- Ideally, you have good knowledge of at least one major cloud platform (AWS, GCP or Azure) and understand how to use the services optimally.
- You are familiar with stream processing technologies (Apache Flink, Spark, Storm, or Kafka).
AP Sensing is a fast-growing, global provider of fiber-optic-based sensor technology. Our solutions can be found in offshore wind parks, Singapore's metro systems, the Eurotunnel, and in many other important infrastructures around the world. We combine a 35-year Hewlett-Packard (HP) heritage with the spirit and enthusiasm of a start-up. Become an empowered employee and join our team of passionate, innovative people.
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