296 warehouse English-speaking jobs in Portugal

static analyses; Agile methodologies such as Scrum and Kanban; Integrating/connecting systems like warehouse

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

Compare Synapse with other data warehouse platforms, highlighting features like serverless SQL pools

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

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

Expertise in SQL Server and SSIS for ETL and data warehouse maintenance.

verification; Understanding of MM integration points with other SAP modules such as SD, FI/CO, and WM (Warehouse

testing, data governance, and data management Provide input into the design and development of data warehouse

knowledge of Python, SQL, and Databricks or Apache Spark Experience with Snowflake and data lake/data warehouse

technology or related domains; Proficiency in SQL and experience with Snowflake or similar cloud data warehouse

; Familiarity with Azure storage and compute services, including Azure Blob Storage, Azure SQL Data Warehouse

Developer Strong knowledge of SSIS, SSAS, and Microsoft SQL Server Experience designing reporting/data warehouse

Knowledge of data lake, data warehouse concepts, multidimensional data modeling, and cubes.

technical expertise in: Cloud Platforms: Microsoft Azure (Logic Apps, Active Directory, Data Lake, SQL Data Warehouse

suppliers to secure the best conditions; Coordinate product creation and purchase orders from planning to warehouse

Ensure the product is well-organized in the warehouse and displayed in-store according to visual merchandising

Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational

Experience in intralogistics, such as warehouse management systems or material flow control, is preferred

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

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