DWH Architect Data Modeling
... manage the end-to-end data modeling process, from requirements gathering to model design ...
... manage the end-to-end data modeling process, from requirements gathering to model design ...
... deployed. Our data stack We collect data from dozens of data sources, ranging from transactional data, availability data, payments data, customer event-level data, voice-of-customer data, third party data and much much ... home office pattern, but we take ...
... , Governance and Compliance: Implement data governance practices within Databricks to ensure data quality, integrity, and security. Develop and maintain data management procedures to govern the data lifecycle from acquisition to disposal, ensuring ...
... needs of our customers - from professional services to manufacturing to ... to a single division. • Data Entry and Verification: Ensure accurate data entry and verification, correcting discrepancies and aligning data with the correct business entities. • ...
... support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, ... onboarding program with a “Buddy” from day 1. Cooperation with top- ...
... throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in ...
... primary technical expert of the data platform and reporting teams creating data solutions. Design end-to-end data architectures from scratch that support application and data platforms. Skills must include data ingestion, storage, processing, integration ...
... software architectures around data – from a “classic” like Data Warehouses or Business Intelligence, over the Data Lake approach up to modern ... and issues from the area of performance, cost optimisation and data freshness. Design and help to ...
... most of the listed concepts from the field of relational databases, data warehouses, analytical bases (OLTP OLAP), BigData, data processing and transformation processes (ETL ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...