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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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SQL coding and/or data visualization, experience collaborating effectively with diverse stakeholders, experience with complex datasets, business processes, data governance, and data quality management.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The Product Analyst Lead for our Enterprise Ledger, Data & Analytics project at SigniFi will assist the End-to-End Governance team in reviewing the technical transformation of the SigniFi project, which is focused on the Financial Digital Core (SAP Central Finance, S/4 HANA, BW4HANA, Business Objects, Enterprise Performance Management - Anaplan.
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Execute projects according to the DVS business management system and the ESG/EHS Technology PM Playbook, coordinating with PDMs as necessary. Sitting within the Platforms, Technologies, & Software Solutions business unit of DVS, our ESG/EHS Technology group specializes in leading clients through solution planning, design, and implementation to digitize their business processes and reporting for regulatory compliance and environmental/social/governance needs.
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Support and perform IT Cyber Security governance and oversight activities, including analysis of Cyber security policies, programs, and activities, developing and tracking performance metrics, reporting, and developing documentation.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Compares requested allocation bands with ITU and US Tables of Frequency Allocations contained in the NTIA Manual of Regulations and Procedures for Federal Radio Frequency Management. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers.
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Help move existing Agency Human Capital Management (HCM) data from the old PeopleSoft HCM system to the new Cloud HCM environment. - Support client Master Data Management (MDM) initiatives.
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You have superior knowledge of Data Loss Prevention (DLP), data analytics, incident management, or investigative programs and the ability to identify risks and advise on solutions and mitigations.
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Bachelors degree in water resources management, water resources engineering, hydrology, watershed management, aquatic ecology, limnology or a related discipline. + Experience retrieving, cleaning, and analyzing large environmental datasets and geospatial data layers, such as land use, hydrography, climate, and water sampling data.
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Center 3 (19075), United States of America, McLean, VirginiaDirector, Data Product Strategy & GovernanceAs the Director, Data Product Strategy & Governance at Capital One, you will lead the portfolio of Data Products and Data Strategy that are fueling our business.
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Experience successfully using Big Data technologies like Hadoop, Spark, Hive, NoSQL, in-memory data stores, etc., and Cloud technologies such as AWS, Azure, etc. Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
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big data governance management jobs in Maryland
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