* Work closely with data scientists, business analysts and other stakeholders to understand their data requirements and translate them into technical specifications and data models.
* Collaborate with data architects to design and implement cloud-based data solutions that align with business needs.
* Facilitate internal knowledge sharing to ensure team members are informed about the latest best practices.
* Implement scalable and robust data pipelines from various source systems.
* Apply business rules and transformations using SQL or Python.
* Secure data models applying object and row level security.
* Develop and document best practices and ensure they are effectively implemented across the team.
* Analyze and address issues related to data integrity, data design and both functional and technical aspects of the Cloud Data Warehouse.
* Communicate effectively about issues, solutions, and best practices with relevant stakeholders.
* Perform cost and performance-based optimization of data transfer processes.
* Continuously monitor and improve the efficiency and performance of data pipelines.
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