Data Engineer
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Die Stelle
Translate business requirements into conceptual, logical, and physical data models and implement them in the database.
Design and build data warehouses and pipelines to transform raw data into analytics-ready assets for commercialization tracking.
Ensure proper handling of PII and ACL, and implement a data quality framework with clear documentation.
Collaborate closely with data producers and data consumers across the organization to understand data needs and align solutions.
Develop scalable data models and governance practices while optimizing for complex analytical queries and reporting.
Address data privacy, security, and efficiency tradeoffs while driving cross-functional projects that advance business goals.
Design and build data warehouses and pipelines to transform raw data into analytics-ready assets for commercialization tracking.
Ensure proper handling of PII and ACL, and implement a data quality framework with clear documentation.
Collaborate closely with data producers and data consumers across the organization to understand data needs and align solutions.
Develop scalable data models and governance practices while optimizing for complex analytical queries and reporting.
Address data privacy, security, and efficiency tradeoffs while driving cross-functional projects that advance business goals.
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