132 warehouse English-speaking jobs in Lisbon District

SAP WM (Warehouse Management): Warehouse operations and stock movements. ... SAP EWM (Extended Warehouse Management): Advanced warehouse functionality (if applicable).

Expertise in designing Data Warehouse (DW) and Data Lake architectures, with deep knowledge of various ... enterprise data architecture, including the strategy, principles, and blueprints for our Data Lake, Data Warehouse

Strong understanding of Data Architecture principles (Data Warehouse/Lake design, Data Modeling) and ... efficient Feature Stores, data labeling processes, and high-speed data integration between the Data Warehouse

Strong understanding of Data Architecture principles (Data Warehouse/Lake design, Data Modeling) and ... efficient Feature Stores, data labeling processes, and high-speed data integration between the Data Warehouse

leveraging cloud services for data storage, processing, and scalability; Understanding of data lake, data warehouse

Key Responsibilities: Implementation of technical solutions Knowledge of data warehouse concepts and

Compute: Deep expertise in Synapse Data Engineering (PySpark, Delta Lake optimization) and Synapse Data Warehouse ... Warehousing: Define standards for Synapse Data Engineering (Lakehouses, Spark Notebooks) and Synapse Data Warehouse

Experience in inventory, warehouse, or logistics management.

experience with cloud technologies (GCP, AWS, Azure) and data infrastructure Advanced understanding of data warehouse

Experience with Oracle or a similar database Expertise in data modeling and exploration Experience in data warehouse

Level of experience (years) Senior (5+ years of experience) Tagged as: Data Mining, Data Warehouse,

Experience with data modeling and data warehouse design, including star and snowflake schemas.

Conduct inspections, monitor mechanical adjustments, and manage logistics between the warehouse and construction

Utilize Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and Azure Databricks for big data

Design, build, and own performance, reusable, and scalable data models for the data warehouse, enabling

Used to improving performance and cost: query tuning and clustering and warehouse sizing and auto-suspend ... Used to improving performance and cost: query tuning and clustering and warehouse sizing and auto-suspend

cloud-based data platforms and services, including technologies such as AWS Redshift and Azure SQL Data Warehouse

knowledge of query languages: SQL, DAX, MDX, and M (Power Query) Experience in data modeling and data warehouse

Experience with Data Lake, Data Warehouse, and distributed processing.

C# (~) CSV (~) JSON (~) XML (~) Regular Expressions (~) Solid understanding of Kimball data warehouse