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Knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP) and Python.
$159,675 a yearExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Good To Have : | Microsoft Azure AWS Google Apache/Spark Elastic R Power BI Databricks Elastic SAS Snowflake TeradataFlexible work from home options available. Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services, Azure Data Factory, Microsoft SQL Server Reporting Services, Data studio, Databricks and can work with a variety of languages and data formats such as parquet and json.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Active Top Secret/SCI with Polygraph Skills and Knowledge: - Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Emerging Technologies: Evaluate and integrate emerging technologies, such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML), to enhance DHS’s IT capabilities.
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Experience with Cloud service, including AWS-stack, such as RDS, DynamoDB, or Redshift, or Microsoft Azure-Stack. Experience with artificial intelligence or machine learning tools, such as Generative AI, LLM, or Retrieval Augmented Generation (RAG.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support data scientists by provisioning and managing infrastructure like GPU VMs for machine learning and Azure Databricks. Design and implement cloud data solutions on Microsoft Azure, migrating on-premises data to cloud data warehouses like Azure Synapse Analytics, and Azure Databricks.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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Our team is in the process of building Capital One's next generation risk management tool which enables predictive risk analysis , compliance issues and event management using micro services and machine learning.
Part-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$229,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Lead the adoption and integration of cutting-edge data technologies, including AI, machine learning, and data analytics, to enhance business intelligence, operational efficiency, data democratization, and self-service.
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