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The selected candidates will be responsible for algorithm exploration, architecture definition, abstract modeling, and FPGA implementation, verification, and delivery, as applied for research and development of complex SIGINT, EW, radar, communications and other RF mission systems.
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Experience with software architecture and design patterns, microservices architecture, and cloud platforms (e.g., AWS, Azure). Lead the design and architecture of our software applications, considering factors such as scalability, performance, and maintainability.
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Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
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More advanced titles require AWS Solutions Architecture and/or AZ104 Azure Administrator Associate. Working knowledge of architecture and design and deployment of solutions using cloud-based technologies aligned to Amazon Web Service and/or Azure.
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Advanced degrees, certifications and significant experience in data architecture, data management, Data Science, Azure Cloud Big Data technologies, Azure Data Lake Storage, Kafka, Air Flow, Stream Analytics, Databricks, Spark, Databricks SQL Analytics, Notebooks, MLflow, Snowflake, Snowflake SQL, Snowpark, Cosmos DB, Alation, Python, R, Java, Scala, Azure functions, Advanced Analytics and AI Client libraries, KsqlDB, FHIR/Rest API, GraphQL API, Power BI etc.
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Demonstrable experience and knowledge with the architecture, design and settings of Azure cloud data services.
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We are looking for an experienced Intune Engineer who possesses strong expertise in the design, architecture, and implementation of Microsoft Intune, along with robust skills in Azure Active Directory (AD) integration.
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Having 2 to 4 years experience in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Hands-on technical expertise developing responsive web applications, including the design of the front-end presentation layer using modern techniques and integrating with back-end services and data sources in a API-based architecture that is hosted on Azure/AWS Cloud Platform.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
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Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements. Data Architecture and Engineering. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Stay updated on emerging technologies, particularly in the areas of Dynamics 365 F&SCM, Microsoft Azure, Microsoft Power Platform, and other relevant solutions. Full understanding of Dynamics 365 F&SCM security architecture and design of security configuration elements.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) This role will be responsible for driving the development and implementation of an enterprise data strategy and architecture, including implementation of systems, tools and processes to enable critical use cases in data lineage and lifecycle management, analytics and reporting, systems integration, and process automation.
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