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The Data Warehouse Architect will also evaluate and provide input on infrastructure components such as software, hardware, database management systems, and networking capabilities.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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3+ years' experience in data engineering & data system development, designing & deploying ETL processes, managing data warehouse solutions, deploying Machine Learning models, and overseeing data quality.
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KEY SUCCESS FACTORS Must have at least 10 years of experience in Data Integration using integration tools like DBT and ADFMust have 2+ years of experience working with Snowflake, preferably in Azure cloudMust have at least 10 years of experience in database development using SQL Must have at least 5 years of experience in architecture and design of Enterprise Data Warehouse environments.
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Primary responsibilities of the Data Architect include designing and managing Data Architectural solutions for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives.
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As a Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. Experience with theory and practice of information retrieval, data science, machine learning and data mining.
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2 years of experience with Warehouse Management Systems (WMS) development and implementation. Implementation and support experience with web-based applications, WMS, Transportation Management Systems (TMS) and small parcel shipment systems.
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Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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Ocean Import Shipment data management. Warehouse In & out management. Contract management and other document tracking. Maintains warehouse staff job results by coaching, counseling, and disciplining employees; planning, monitoring, and appraising job results.
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Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks accomplished SQL DBA / Data Warehouse Analyst.
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Experience using SQL for data analysis, extraction, troubleshooting and reporting. Expertise and experience in at least one of the following business disciplines: supply chain management, warehousing, transportation or distribution.
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Gather, enter into the warehouse management system, and maintain all data and records relative to shipping activities. Using a warehouse management system, systemically open/close shipments and prepare accurate bills of lading for outbound freight.
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Directing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Content Management, Reporting, Search; Protecting intellectual property, disaster recovery planning and adherence to SDLC as well as COBIT, CMMI, PMM4, and ITIL.
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Knowledge of Modern Data Warehouse is preferred (Azure Synapse Analytics, Data Bricks, ADF, Power BI) Apache / Tomcat, Apache Maven, Apache Spark, API Concepts and Methodologies, API Security, Camunda, Cloud Automation, Cloud Computing, Cybersecurity, Data Engineering, Database Design (Physical), DevOps, Java and Related Technology, JavaScript, Linux.
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Familiarity with data management technologies and tools, including data governance platforms, metadata management systems, data quality tools, and master data management solutions.
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data warehouse management jobs in Dallas, HI, Australia
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