Data Engineer for AIoT Solutions
vor 1 Woche
Schwarz IT is a central IT service provider responsible for the selection, provision, operation, and further development of IT infrastructures, platforms, and business applications. We serve various divisions of the Schwarz Group, including LIDL, Kaufland, PreZero, and Schwarz Produktion.
About the Role:
We are seeking a Data Engineer to join our team, focusing on developing innovative AIoT solutions. As a key member, you will design and implement scalable products for anomaly detection in large IoT time series data. Your expertise will help us optimize processing large data streams in real-time using modern data streaming technologies like Kafka.
Your Tasks:
- Design and implement a scalable product for anomaly detection on large IoT time series data
- Implement robust and scalable software components using PySpark, Spark Streaming, and Iceberg
- Combine efficient data streaming tools with innovative data engineering technologies to build a future-proof AIoT architecture on STACKIT
Your Profile:
To succeed in this role, you will have:
- Profound experience with data streaming technologies like Kafka and knowledge of scaling real-time data streams
- Initial experience in processing large IoT time series data with PySpark and designing data architectures for time series handling
- Proficiency in programming languages like Python or C++ (possibly also Rust) and experience in implementing scalable software solutions
- In-depth knowledge of Kubernetes and Docker as well as experience with Azure DevOps
What We Offer:
- Competitive salary: €90,000 - €110,000 per year, depending on your qualifications and experience
- Opportunities for growth and professional development in a dynamic environment
- Collaborative and innovative work culture
How to Apply:
If you are a motivated and skilled professional looking for a new challenge, please submit your application through our job portal.
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