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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.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As ABSC’s Data Scientist , your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Senior Big Data Engineer - Homes.com. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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DD works across a range of topics, including broadband connectivity, access, and use; digital public infrastructure (DPI); data governance and protection; cybersecurity; AI and big data; data hosting and cloud computing; and digital and climate.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
$75,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Key Required Skills:Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure ML, Database Platforms, Big Data, Data Lake, Azure Databricks, Azure Synapse, etc.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
Part-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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3+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Big Data, Spark Streaming, Kafka, Hadoop, Map Reduce, Hive.
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