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- Design and implement data pipelines for effective data integration from various sources into cloud platforms, focusing on automation of data movements and transformations.
- Deploy new developments on cloud platforms like Azure (using big data or cloud-integration technologies)
- Implement business processes and logic in Databricks using Python / SQL / PySpark
- Construct and test data warehouses, including staging and business layers (focus on Microsoft Azure)
- Support the analysis of data integration projects
(technical conception, design, solution selection, implementation, and quality assurance) - Design and implement a robust, scalable data management platform
- Databricks
- Microsoft Azure
- Proficient in Python, SQL, Spark, etc.
- Experience with object-oriented Python for scalable big-data pipelines, ETL processes, web APIs, and microservices.
- Expertise in relational and NoSQL databases, star schemas, data lakes, blob/file storage, and data warehouses
- Knowledge of technical implementation of regulatory requirements including access control, historization, versioning, and data lineage in data solutions
- Experience working in agile environments (Scrum, Kanban)
- English (C1) / German (Nice to have - not important)
Senior Data Engineer - Munich, Deutschland - emagine Consulting
Beschreibung
For our client, an internationally active company in the logistic sector, we are looking for a Senior Data Engineer (m / f / d) on a contract basis as soon as possible. The work can be % remote (no on-site work) and the duration of the project is min. 6 months with an option to extend.
Tasks:
Requirements:
Languages:
Does the position sound exciting to you and does your profile match the requirements?
Then we look forward to receiving your application
Contact person at emagine: Mr. Aman Karvandian-Esfahani
Mail:
Phone:
Your emagine - Team