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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - Azure (ADF, Synapse, Power BI), AWS (Glue, Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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As the Lead Engineer, Warehouse Design, you will be responsible for leading the development of a large-scale design package that may include material flow diagrams, facility layouts, material handling equipment designs, automation designs, storage media designs, process designs, and slotting and pick path analyses.
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Essential Functions Data analysis, problem solving and execution of changes in Planning, Warehousing, Procurement, & Shipping Execute transformation program strategies and projects in collaboration with Supply Chain management Define key activities or improvement projects and propose the associated deadlines.
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Experience with data warehousing platforms such as Snowflake, Redshift or similar. Design and build efficient and reliable data pipelines to move data across different data systems and enterprise Data Warehouse (Snowflake), Oracle, and external partner systems through API's, AWS S3 buckets.
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Provide data modeling design, analysis, and implementation, including conceptual, logical, and physical Data modeling, Data conversion, Data integration, and Data mining specialization in Data Warehouse and Business Intelligence.
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Designing data architecture and implementing/ integrating D&A platforms, within the P&LS Commercial ecosystem, such as ERP (SAP S4, Oracle); CRM (Veeva, SFDC); Contracts & Pricing (Model N, SAP Vistex, Vendavo); Customer MDM (Reltio, Informatica, Veeva Network); Data warehousing and Reporting (Qlik, Tableau, Power BI etc.
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Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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Desired Qualifications:Expert hands-on knowledge of BPC embedded, HANA modelling, SAP Datasphere (Data Warehouse Cloud – DWC), ABAP, and Fox coding. High level knowledge of various replication methods to HANA or BW.Oversee the design of the data architecture and the technical architecture for the old-fashion and modern data platforms, including data acquisition and integration, data modelling, transformation and quality processes, master data management, data warehousing and data marts, data lakehouse, data fabric and data mesh.
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Understanding of data warehousing technologies such as Azure SQL Data Warehouse, Snowflake, BigQuery, or Redshift. Azure - Azure Databricks, Azure Data Lake, Event Hubs, SQL Data Warehouse, Azure Data Factory.
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Essential Duties and Responsibilities Provide Data warehousing, Data modeling, Data integration, Data migration, ETL processes, and Business Intelligence support. Use Informatica Mapping Designer to create/update mapping using different transformations required to move data into data warehouse.
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Since 2012, AG has (been) successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development and Custom Programming, Full Stack Development, DevOps, DevSecOps, & CI/CD, Web & Mobile APP Development, Data Visualization and Data Warehousing, Financial/ERP System Implementation, Infrastructure Management.
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We are building the data foundation of Web3—a fully decentralized and community-operated data warehouse, leveraging innovative cryptography to connect tamperproof query results directly to smart contracts.
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Design, develop and manage Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy data and 3rd party vendor software systems.
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Position Overview: As a Senior Data Warehouse Engineer, you'll play a critical role in designing, building, and maintaining our data warehousing solutions. Proficiency in SQL and experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or similar.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on expertise with EPIC data integration with an Enterprise Data Warehouse is required. The PM needs to be well-versed in both Epic clinical data model/format/language and enterprise data warehouse activities related to the consumption of such data.
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