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Exposure to Amazon AWS or another cloud provider- Business Intelligence tools such as Tableau, ThoughtSpot, PowerBI and/or Looker- Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts. The Power BI architect / developer should be familiar with data science, business intelligence, and data analytics.
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Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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Implement ETL design patterns for data warehousing using Kimball methodology and master data management, with expertise in T-SQL scripting, query optimization and data governance.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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8+ years of direct experience in Big Data, Data Warehousing, Data Analytics, and/or Information Management related projects, Snowflake preferred. 5+ years of direct experience in cloud data solution architectures, design and development including ETL, data warehousing, data lakes, and big data.
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Experience with designing and developing end to end data pipelines on AWS - Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques.
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Hands on design and development experience in multiple Data Warehousing, Data Lake and analytics Platforms: Microsoft data and analytics platform (Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks, etc.
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Strong proficiency with data warehousing tools (Snowflake, SQL Server, Google BigQuery). In this position, the AI/ML Big Data Architect will play a critical role in assisting researchers by designing and implementing robust data architectures, optimizing AI/ML data workflows on large-scale systems, implementing best practices for data integrity and scalability, building and maintaining the distributed AI/ML data infrastructure, and ensuring seamless integration of cutting-edge data storage and retrieval techniques with research initiatives.
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Create data architecture, engineering and migration patterns for MySQL, SQL, Oracle, assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting AT&T Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in Azure.
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Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc. - Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase.
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In your role as SAP S4 HANA IT Architect, Supply Chain you will play a technical leadership role within the SAP organization in Materials Management (MM), MRP, Logistics Execution (LE), Warehousing (EWM), Purchasing and Trade Compliance.
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What you will do: The IT Solution Architect is part of the IT team and is responsible for delivering greater business value from Tillamook s investments in Microsoft s Cloud Data Warehousing resources such as Azure and Fabric.
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As a technical leader, you will work with the VP, Data Solutions and Datawarehouse Architect to create and data governance policies and improve existing Agile development processes.
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The Information Architect is a key role within the Data Strategy & Enterprise Architecture organization that partners to define and operationalizes the data domain strategy, roadmap, and best practices in alignment with Reference Architecture and the business strategy, objectives, and EA standards with a focus on business value creation.
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