DWH Architect Data Modeling
... business managers across the company’s data ecosystem to design and continue to scale the data models that make up our data warehouse and support decision-making across ...
... business managers across the company’s data ecosystem to design and continue to scale the data models that make up our data warehouse and support decision-making across ...
... , Star Schema etc.)Integrate new data sources into our existing data warehouseParticipate in data warehouse design and architecture to support ... new ideas and push the data warehouse developmentWillingness to change, learn and ...
... , Star Schema etc.)Integrate new data sources into our existing data warehouseParticipate in data warehouse design and architecture to support ... new ideas and push the data warehouse developmentWillingness to change, learn and ...
... . We use Snowflake as our data warehouse technology of choice that houses a wide variety of data products, ranging from raw data all the way to dimensional ...
... efficiently discover and onboard new data sources to enrich the organizations assets. Data Mapping: Design and implement data mapping processes to ensure seamless ... Python, Scala, or SQL for data manipulation and transformation. Hands-on ...
... relational and non-relational databases, data warehouses, ETL ELT processes, and data management tools. Experience with various ...
... in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in ...
... based on cloud solutions Develop data-related solutions (i.e. BigData, Modern Data Warehouse, Data Warehouse Modernization, Data Analytics) based on the cloud ...
... team of ground-breaking data scientists, data engineers, BI developers, UX designers and analytics translators carry out ... proficiency in SQL, and data visualization tools like Power BI ... are passionate about leveraging data to drive transformation and ready ...
... support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, ...