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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Proficiency in PowerApps, Power Automate, Microsoft 365, SharePoint; knowledge of JavaScript, HTML, CSS; familiarity with Azure. Microsoft PL certification, experience with Application UI/UX, familiarity with APIs and data querying, experience using Power BI for data visualization.
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Infrastructure Management: Manage and optimize data infrastructure, including cloud platforms (e.g., AWS, Azure), databases (e.g., PostgreSQL, Clickhouse), and data processing tools (e.g., Airbyte, Apache Spark, Hadoop.
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Industry knowledge and experience in areas of Cloud Data processing and migration, advanced analytics Redshift, Glue, Azure EMR, Azure Kinesis, Step functions. Hands-on experience in Azure services i.e. Azure, Lambda, API Gateway, SQS, SNS, RDS, Aurora, Cloud Watch.
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Perform hands-on activities, supporting the customer in evaluating native security solutions in areas such as Microsoft 365 Defender, Microsoft Defender for Cloud, Sentinel, and Azure Active Directory, among others.
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Proficiency in Python, R, and SQL is essential, along with experience managing data lakes such as Google BigQuery, AWS S3, or Azure Data Lake. Familiarity with data visualization tools like Power BI or Tableau, and a robust understanding of data governance and best practices, are crucial.
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Hands on experience in building data pipelines using Databricks, API for various source systems. In depth knowledge on few of the key Azure services - VM, Storage, Azure SQL, VNet, Redis Cache, Resource Manager, Azure Diagnostics/ OMS, Traffic Manager, Azure CDN, Azure Notification Hubs, Azure Identity and Access Management, Infrastructure as Code etc.
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Have experience with the primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System (GFEBS), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense (PD2) and Procurement Automated Data and Document System (PADDS.
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Hands-on experience with downstream processing techniques such as chromatography (affinity, ion exchange, size exclusion), filtration (depth filtration, tangential flow filtration), and UF/DF.
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Experience with Development Management tools such as Jira or Microsoft Azure DevOps. Experience with Product Design tools such as Figma. The ideal candidate will have a deep understanding of both front-end and back-end development, with a strong emphasis on AI/ML integration, data structuring, and interactive media solutions.
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Must be familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. Define and develop artifacts outlining data dictionaries, definitions, flows and lineage across various systems and business processes across the enterprise, and aligned with RBC’s data governance strategy where appropriate.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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10+ years of experience in estimating and cost control, with a focus on heavy civil construction. Proficient in Microsoft Office, HCSS (Heavy Bid), Primavera, and Viewpoint. Manage bid preparation, pricing, and scheduling, incorporating historical data and quotes.
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The ideal candidate will have knowledge of Windows and Linux systems and their associated scripting languages, experience with AWS or Azure cloud environments, and will have worked with endpoint security platforms such as Microsoft Defender for Endpoint, FireEye, Crowdstrike, McAfee, or similar, and with vulnerability testing products such as Windows Defender TVM, Tenable Nessus, Rapid 7 InsightVM, Qualys, or similar.
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hands on microsoft azure data processing jobs Title: applied in Jersey City, NJ
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