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 ...
... volumes of real-time data from diverse systems, including parcel lockers, ... optimize operations globally. Real-Time Data Processing: Harness large-scale, real-time data from various sources to generate actionable ... us as a Big Data Analyst and be a part ...
... data models through collaboration with various stakeholders. Integrating data from multiple sources like SQL, NoSQL ... and APIs. Extending the Data Lakehouse capabilities through leveraging ...
... , 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 ...
... . You can choose the training from our Virtusity portfolio or external conferences, courses, workshops, etc. Home office reimbursement - you can rent all the necessary equipment from our offices, but you can ...
... 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 ...
... .Your Tasks & Responsibilities Data Collection: Data gathering from various sources (database, spreadsheets, APIs, …) Data cleaning and preprocessing (data “stewardship”): understanding data (and what is behind the data), ensuring data accuracy and ...
... 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 ...
... 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 ...
... most of the listed concepts from the field of relational databases, data warehouses, analytical bases (OLTP OLAP), BigData, data processing and transformation processes (ETL ...