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Data Engineering experience focused on batch and streaming data pipelines development, Data processing/data transformation using ETL tools. 1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Engineering Manager will deliver the support for the management and operations of its U.S. Department of State (DOS), Bureau of Population, Refugees, and Migration (PRM) Refugee Processing Center (RPC) Operations.
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6+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics. As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This position requires a minimum of % hybrid on-sitePreferred Qualifications:An advanced degree in a STEM field – preferably electrical engineering, radar engineering, systems engineering, data analytics, artificial intelligence or equivalent.
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As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Manager, Data Engineering.
$234,700 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At Credence, we offer an exciting opportunity to be part of cutting-edge innovation in the world of Software development/ Engineering engaging on software projects that integrate UI/UX design with AI/ML, Data Fusion, Analytics, and Cloud technologies, digital transformation, and cybersecurity.
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Responsibilities: Lead Get Well’s strategic direction and vision for data science, business analytics, and data engineering functions, building partnerships with stakeholders across Product, Sales, Marketing, Client Success and Engineering.
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IntePros Federal is seeking a System Center Configuration Manager (SCCM) Subject Matter Expert (SME) in support of our federal government customer, the Department of Energy (DOE), National Nuclear Security Administration (NNSA), assisting with the digital transformation within classified and unclassified IT systems and networks.
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Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets. Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experience.
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modern data engineering transformation jobs Company: Atlassian in Falls Church, VA
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