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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Certification in big data technologies or cloud data services ● Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus Benefits: Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development.
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. We need a big data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$128,900 - $195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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QVine is a leading provider of Agile software development, cloud computing, big data, and other Information Technology (IT) services in the National Security and Defense sectors. Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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We're looking for our next Data Operations Analyst who has a particular specialty or interest in web scraping and extracting data from the open source. Conducting background research on issues in international affairs and identify relevant data sources.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons' (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office's anti-trafficking work to the public and other stakeholders.
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Demonstrated understanding of data migration tools like Data Loader and ETL tools. Build large and complex data pipelines, integrate data coming from diverse sources in different formats and map data to specified Salesforce fields and maintain dynamic data integration solutions in cloud-based and hybrid environments.
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. What you need to succeed Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
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big data jobs Title: developer Company: Walt Disney in Washington, DC
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