940 warehouse English-speaking jobs in Poland

neededUnderstanding of the inner workings of the Oracle databasePractical experience with both OLTP and Data Warehouse

Talent recruitment is in our DNA.Analyze data from the central data warehouse and other sources using

enterprise resource planning systemExperienced in analysis of the following business processes: Logistics, Warehouse

satisfactory.Cooperate with your colleagues from different stores and with other departments of the company (HR, warehouse

Migrate Data Models: Manage migration of large-scale data warehouse with 60+ interconnected DBT models

supply chain.Knowledge of SAP MM-IM, ideally also SAP CI and IDoc monitoring.Solid understanding of warehouse

Experience implementing and supporting integrations between Creatio and other systems (e.g., ERP or data warehouse

experience) Cloud experience (AWS highly desirable: Kinesis, SQS, Lambda, Athena), Data Lake, Data Warehouse

Our SAP BW environment serves as a central data warehouse powering decisions across the business, touching

calculating key data, applying accounting rules before onward delivery to the SAP GL and the common data warehouse

data workflows using AWS services such as Glue, Lambda, S3, and CloudFormationDesign and maintain data warehouse

Analyze and Push down statutory adjustments to SAP Reconcile and analyze revenue between SAP and Data Warehouse

used across a global organization.About UsKION Group is a world-leading supplier of forklift trucks, warehouse

platforms AWS/Azure/GCP Experience with modern data architectures such as Data Lake, Delta Lake, Data Warehouse

High Python knowledge Good Linux/Unix knowledge Good knowledge of data warehouse, relational and

processes.Proficiency in data engineering tools and languages (e.g., Python, SQL, Apache Spark).Experience with data warehouse

degree – preferred in logistics or similar engineering degree Fluent English is must SAP Extended Warehouse

Our requirements 4 years of experience delivering complex data warehouse / data lake / business intelligence

data sources, into the data lake, implementing ETL processes to transform and load data into the data warehouse

data sources, into the data lake, implementing ETL processes to transform and load data into the data warehouse