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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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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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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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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.
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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.
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We are a leader in providing software engineering, big data analytics and visualization, artificial intelligence and machine learning solutions, DevSecOps, data center operations support, and cloud migration for our law enforcement and national security customers.
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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.
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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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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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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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Specifically, this project will support ONDs Integrated Review for Drug Marketing Applications program by providing comprehensive safety data analyses for new drug applications (NDAs) and biologics license applications (BLAs) in collaboration with clinical reviewers.
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Guidehouse is seeking a caring and experienced Senior Data Analyst to join our Defense and Security Segment. - Design and develop data visualization and dashboard solutions using Power BI to support analysis and communications.
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Adeptness with Terraform, Azure DevOps, and other tools essential for modern data engineering. Join us in a dynamic role as a Databricks data engineer, where you'll dive deep into the heart of cutting-edge data infrastructure within Azure's cloud environment.
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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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Experience with Big Data Architectures, Batch Processing, and Lambda Architectures. Experience with Azure/AWS cloud technologies with data transformation via DataBricks or dbt. Expertise working with ETL tools such as SSIS, Azure Data Factory, or dbt.
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big data jobs Title: data project manager in Mclean, VA
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