Position: Associate

Job type: Full-time

Loading ...

Job content

Your New Career

Are you looking to work in an exciting environment with high tech sensing solutions? Would you like to join a young and dynamic team, gain international business experience and take your next career step?

Your Responsibilities

  • You will take a technical lead role in the development of our hybrid (Cloud and Edge) IoT data platform directly impacting the efficiency and scalability of the solution.
  • You will work on building a robust and scalable metastore to effectively manage metadata.
  • 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.

Your Profile

  • You have a technical degree, ideally in computer science or comparable.
  • You have at least 5 years of professional experience in software or data engineering with a focus on distributed data-intensive applications.
  • You have good knowledge of state-of-the-art storage technologies and their productive use (no SQL, time series databases, document stores, graph databases, etc.).
  • You have excellent programming skills in development with Python and a static programming language (e.g., Rust or C++) and know how to develop high-quality code.
  • You have experience with containerization (Docker and Kubernetes).
  • You have excellent analytical skills and a very quick grasp.
  • Ideally, you have experience in implementing distributed data platforms for Big Data and IoT applications, ensuring data safety, data integrity, and optimizing performance for large-scale data systems.
  • Ideally, you have good knowledge of AI workloads and MLOps.
  • Ideally, you are familiar with stream processing technologies such as Apache Flink, Spark, Storm, Kafka.

Our Company

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.

Our Offer

Learn more about our numerous benefits at:

https://www.apsensing.com/career

Are you ready to play a BIG role in a small team

instead of a SMALL role in a big team?

Then you are spot-on with us…

hr@apsensing.com

Ansprechpartner*in: Ingrid Licht

Referenz: 188G

AP Sensing GmbH

Herrenberger Str. 130

71034 Böblingen

www.apsensing.com

Loading ...
Loading ...

Deadline: 06-12-2024

Click to apply for free candidate

Apply

Loading ...

SIMILAR JOBS

Loading ...
Loading ...