Data Engineer
Job Description
• Work together with project team to understand and analyze customer requirements, and
- evaluate project deliverables and benefits
• Define data needs, evaluate data quality,
• Collaborate with IT/machine/product technical experts to define data collection, storage and process concept
• Support on core data aggregation, modeling and algorithms implementation
• Visualization of data analyzing results, work together with team and process/ product experts to validate results and transfer to process/ product knowledge
• Based on validated results, optimize current data process flow, create reusable data process module for frequent usage and process, and improve data process efficiency and stability
Qualifications
• Masters or above in Computer Science, Mathematics, Applied Statistics, Physics
• Practical experience on working with analytical/data mining methods and software ( R, Rapid miner, KNIME or similar tools)
• Practical experience in data manipulation, applying algorithms for prediction and relation
• Good sense in data quality, comfortable in dealing with unstructured data, providing advices on how to develop or improve data structure
• Familiarity with Big Data and related IT architecture ( Hadoop, SQL, Oracle, etc)
• Experience with automotive industry or Io
T as a plus
Additional Information
#Like
ABosch Benefits:
Financial benefits:
- time fee, paid together with your first salary.
-
- case basis);
Work-Life Balance:
Health and sport:
Development:
- improvement is paved by books. Borrow the books that interest you and your family through the Library that comes to your office (and your home).
- building activities for your department, so you get to know each other and build trust among your peers;
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