About this role
In your role, you will participate together with the other Data Engineers in solution design discussions led by our product architect, where your knowledge and input will be highly valued. You will collaboratively work with IT and business SMEs to ensure delivery of high-quality end-to-end data pipelines.
- Minimum 5 years' experience with building complex data pipelines and data solutions.
- Bachelor's or Master's degree in Computer Science , IT, or equivalent.
- Hands-on experience with data modeling
- Hands-on experience with programming in Java and Scala (python is a plus).
- Hands-on experience with Streaming processing (e.g., Spark) and Streaming and/or batch storage (e.g. Kafka, Oracle)
- Experience in building APIs
- Experience in data engineering using DevOps principles
- Experience in building highly performant and secure data pipelines
- Data Schema’s (e.g., JSON/XML/Avro)
- Storage formats (e.g., Azure Blob, SQL, NoSQL)
- Deploying services as containers (e.g., Docker)
- Experience in building highly performant and secure data pipelines
- Knowledge and experience with MLOps (E2E Data and Machine Learning Pipelines)
- Working with cloud services (preferably with Azure and Databricks)
- Experience in data quality management and monitoring is a plus.
- Experience with Predictive Maintenance model development is a plus.
- You are fluent in English.