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Bachelor's degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Strong understanding of big data analytics , machine learning , and data manipulation techniques in geospatial contexts, providing insights into how emerging technologies can enhance GEOINT capabilities.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Azure cloud computing, including big data technologies such as Azure Databricks cluster management. Design scalable data processing and analytics solutions, including Big data storage for various data types and large-scale data processing using Databricks.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$41.6 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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2+ years of experience working with data analytics tools, such as Databricks, or Python data analysis libraries. Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections.
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ICF is currently seeking a Data/CQI Administrative Specialist position to support data analysis, data visualization and data storytelling across the project. Demonstrated experience in data management, relational databases, data visualization and data storytelling techniques and principles, including use of software such as Tableau, PowerBI, or Excel.
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Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired. Hands-on experience with D365 Customer Experience / Dynamics CRM / PowerApps / Power Automate technical solutions.
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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Ability to work iteratively with the business community to gather requirements and develop enterprise level visualizations using agile methods Experience developing data visualizations against ERP transactional and analytical data models Creates complex queries, and stored procedures to deliver dynamic data visualizations Requires Qlik Sense or Qlik View certification Eight (8) years + relevant experience Experience with complex custom-developed visualizations using D3, HTML, JavaScript, etc.
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Experience using data and analytic tools such as: PowerBI, Databricks, SQL, Python, R, or Tableau. This role will be a member of the Technical Operations Risk & Governance team - a diverse group of data analyst, privacy analyst, and program managers that will assist in enabling and supporting our business line groups within Digital.
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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. In our consultative approach, we are platform agnostic and are committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, MLOps, data engineering and streamlining IT infrastructure processes.
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big data jobs Company: Accenture in Reston, VA
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