Data Engineer (m/f/d)
Build, manage and optimize data systems. Work closely with developers and data scientists to build a robust data storage schema, build ETL jobs to direct the flow of data within the pipeline and ensure consistency of data delivery across multiple projects.
Technical requirements
- Graduation in Computer Science or a similar education
- Experience working with and extracting value from large, unstructured, and disconnected datasets
- Knowledge working with relational databases and NoSQL
- Knowledge building and optimizing big data architecture and pipelines
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- DevOps skills (Bonus)
- Comfortable in using at least one of the standard big data ecosystems (such as Hadoop, Spark, Presto, Hive)
- Comfortable in using databases (such as Oracle, MySQL, PostgreSQL, MS SQL Server)
- Comfortable in using at least one of the standard Data Warehouses (such as Redshift, Teradata, Vertica)
- Object-oriented/scripting languages such as Python, Java
- Comfortable in using at least one cloud service provider like AWS or Azure
- Spark, Spark Streaming (Bonus)
- Machine learning Concept (Bonus)
Personal requirements
- Your work is independent, structured and responsible
- You have a distinct consciousness for quality
- You are a quick learner and you have excellent analytical skills
- You are an open-minded and communicative team player
- You can get enthusiastic about common visions and you are eager to deliver high-quality solutions
- Preferably, you are enthusiastic about the automotive sector
We are looking forward to your application!
Please send your documents including cover letter and CV to recruiting@compredict.de
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Contact
+49 (0)6151 3844614
contact@compredict.ai
COMPREDICT GmbH
Rheinstraße 40-42
64283 Darmstadt, Germany