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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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We are looking for a Big Data Architect IT Consultant Master (Min 5+ Yrs. Exp) ONSITE ( Webcam Interview ). Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes.
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We are looking for Big Data Architect IT Consultant Master professionals for an upcoming long-term project with the Office of the Chief Technology Officer. Seeking an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the OCTO Data Modernization Effort.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Tagged as: Big Data Engineer- Hybrid Mclean VA. Strategic Staffing Solutions is currently looking for a Big Data Engineer, for a W2 contract opportunity with one of our largest clients.
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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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Responsible for utilizing big data technologies (e.g., Apache Hive, Apache Pig, Apache Spark, MapReduce, Hadoop, and MongoDB) and knowledge of data science models to analyze large amounts of data and create valuable insights for supporting the mission.
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Provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
Part-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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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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Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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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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Big Data Platforms (Apache Spark, Presto, Amazon EMR) You will be expected to actively contribute to the cloud and big data community at Slalom and drive new capabilities forward.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Three (3) years of experience with Big Data technologies, including but not limited to Hadoop, Spark, Python, Glue, Lambda, AWS Lake Formation, Redshift, PostgreSQL, MySQL and Hive. Exposure to Big Data technologies such as Spark-SQL, Data Frame, Pair RDD's, Spark YARN, EMR.
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big data jobs Title: manager Company: Accenture Contractor Jobs in Washington, DC
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