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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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We are looking for Senior Big Data Engineer Remote/Full Time Only. Anyone interested can share your resume at pkumar@radiansys.com. Job Title: Senior Big Data Engineer Remote/Full Time Only.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
$25ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Job ID: OCTO Big Data Architect IT Consultant Maste - 746534. 5 Years of experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes.
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Experience with Big Data technologies and platforms such as Apache Hadoop, Apache Spark, and NoSQL Databases for the storing, processing and managing of large structured, semi-structured, and unstructured data sets.
$226,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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Subcategory Big Data Engineer. Possess a minimum of five years of experience with full lifecycle and secure and automated development of at least one of the following data management, data analytics or Artificial Intelligence (AI), Machine Learning (ML.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stack. Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stack.
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As a data engineering team that supports the central finance team within Amazon, our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever growing financial data.
$240,500 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Within OSSE, the Division of Data, Assessment, and Research is responsible for using data to measure and communicate student success. The Office of Research, Analysis, and Reporting (ORAR) team partners with divisions within OSSE as well as agencies across the District to promote the quality and transparency of education data in order to inform policy and practice.
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Our core competencies include: big data services, geomatics, business solutions, cloud services, infrastructure security, analytics and professional services. Extract features from a variety of sources, including but not limited to nautical charts, digital hydrographic survey data, and imagery to update Digital Nautical Charts (DNC) and Electronic Navigation Charts (ENC.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results.
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big data jobs Title: care coordinator in Alexandria, VA
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