Act as a Data Engineer for the Google Cloud Platform projects: scalable and re-usable, self-service frameworks for data ingestion implementation of warehouses, data lakes, data marts and data processing pipeline solutions for new and existing clients.
Build and maintain efficient, scalable, and reliable data architectures for analytics and reporting.
Implement data quality checks and data validation processes to ensure accuracy and consistency of the data.
Maintain and update data documentation and data dictionaries.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Requirements:
4+ years of professional experience in the Data & Analytics area.