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Performs test-driven software engineering and development activities associated with designing, developing, maintaining, and enhancing the Big Data analytic system using an Agile DevSecOps model.
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Apply engineering principles, industry standards, company process, and knowledge of vehicle dynamics, aerodynamics, propulsion, classical/modern control, and estimation theory to perform tasks to advanced program/project goals.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be 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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Expert understanding of the electrical and mechanical systems used in a facility and 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.
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Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Experience with Databricks for data engineering and analytics, including familiarity with Spark, Delta Lake, and ML. Leverage Databricks for data engineering, analytics, and machine learning tasks within application developm.
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Use modern software engineering tools and methodologies, including Eclipse, and Atlassian Products (Jira, Confluence) The Senior UI Front-End Developer will actively engage in team building single page applications using modern JavaScript framework and libraries.
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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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Experience delivering technical solutions using COTS and GOTS relational and non-relational database technologies, as well as big-data solutions. In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Join us to accomplish innovative work on modern data platforms that adopt the cloud and encompass self-service features. Data integration tools, platforms, and pipelines such as Apache Airflow, Apache Spark, Denodo, or Palantir’s WarpCore.
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Subject matter expert in data warehousing, data modeling, big data, cloud infrastructure, and business intelligence tools. Design and implement cloud data solutions on Microsoft Azure, migrating on-premises data to cloud data warehouses like Azure Synapse Analytics, and Azure Databricks.
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2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
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Cyber Investigator [ insider threat, data loss prevention, digital forensics ] – Senior AnalystThe Cyber Investigator provides expert-level contributions to AIG’s Information Security Office by protecting the company’s critical assets from internal threats and reducing overall risk.
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Low Voltage Cable Technician job duties will include, but are not limited to: Pulling, terminating, dressing, testing, and labeling CAT5e, CAT6, CAT6a, and Fiber data cables. Whether you’re just getting into the field or are already low voltage cable genius, NLT has played a pivotal role in furthering the careers of many technicians throughout the voice and data, low voltage field.
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Contribute to the continuous improvement of data governance practices, procedures, and standards, with a focus on ensuring data quality and integrity across all Guardian Risk Hub integrations, including legacy systems and modern APIs.
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modern big data jobs Title: data in Herndon, VA
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