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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud and Artificial Intelligence.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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The Data developers partners with Data modeler and Data architect in an attempt to refine the business’s data requirements, which must be met for building and maintaining Data Assets.
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This analyst will support teams working in Agile (Sprint) to analyze datasets to be made available in a cloud-based data management platform that will support the agency to produce master data with data governance.
$90 - $100 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficiency in Azure infrastructure provisioning, configuration management, and deployment automation using tools like Terraform, Azure Resource Manager, PowerShell, or Azure CLI. Expertise in Azure security principles and best practices, including Azure Active Directory, Role-Based Access Control (RBAC), Azure Security Center, and data encryption.
$164,400 - $200,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize progressive elaboration; map stories to data models and architectures to be used by internal staff to facilitate master data management. ·Experience with key data warehousing architectures including Kimball and Inmon, and has a broad experience designing solutions using a broad set of data stores (e.g., HDFS, Azure Data Lake Store, Azure Blob Storage, Azure SQL Data Warehouse, Azure Cosmos DB.
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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect – Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
Starting at $250Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge and experience in applying data management concepts such as data architecture, data quality, metadata management, Data Warehousing and Business Intelligence, data integrity, data integration and interoperability, data governance, data security, data storage and operations.
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MCSA, MCSE, Azure Solutions Architect, Microsoft Endpoint Administrator Associate, Microsoft Azure Administrator, or Microsoft 365 Certified Modern Desktop Administrator Associate (MDAA.
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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), Azure Solutions Architect Expert, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Foundational understanding of one or more of the following: public CSP (Azure, AWS, GCP) cloud infrastructure and networking, Infrastructure-as-Code (IaC), data center automation. al), and one enterprise data protection platform (Rubrik, Commvault, Veeam, Zerto, et.
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Architect, design, implement, and test changes to SAP BRIM and related/ancillary technologies, including SAP S/4HANA (Subscription Order Management, Convergent Invoicing, Financial Contract Accounting, Sales & Distribution, Materials Management), Convergent Mediation, and Convergent Charging, to ensure needs are met.
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Utilize Data: Use your in-depth knowledge and hands-on experience with MS Azure and SQL to architect, deploy, and manage cloud-based solutions, and efficiently handle large datasets for analysis and reporting purposes.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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The Mission Networks Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services.
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