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Experience with Big Data Storage tools (e.g., Lakeview, Lakehouse, Redshift, Databricks). - Develop and maintain scalable data pipelines using tools like Databricks, Airflow, and DBT to ensure seamless data integration and transformation.
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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. Utilize Databricks for big data processing and streaming analytics. 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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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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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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As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$137,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Benefits: R Java Python REST SQL NoSQL Tableau Azure Big Data storage TITLE: Big Data Architect IT Consultant MasterLOCATION: Washington DC/ Onsite MINIMUM EDUCATION: Bachelor’s degree in IT, related field, or equivalent experience.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others. Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong proficiency in big data technologies such as Apache Spark, Hive, Impala, HDFS, Kafka, and HBase. Required Skills and Qualifications: The client is looking for an engineering of data platforms for Enterprise Big Data, Business Intelligence (BI), and Transformation - (DBMS, ETL, Data Warehouse, Reports, Data views.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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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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In this position the Data Scientist is responsible for developing, planning, and executing basic and applied research in bioinformatics as applied to biodiversity genomics and conservation biology, and provide bioinformatics and computational expertise and training to the Center for Conservation Genomics (CCG)/National Zoological Conservation Biology Institution (NZCBI) scientists.
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Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency. Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
$164,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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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big data jobs Title: hadoop Company: At T in Washington, DC
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