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We are seeking a Big Data Administrator/ Lead. Candidates must have hands-on Cloudera Solr, HBase implementation experience. This is a Big Data Administrator Lead position and not a developer position.
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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. Cloudera Big Data Lead for a Contract to hire job opportunity with our direct client.
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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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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
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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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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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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Proven experience working with Databricks for big data processing and analytics.
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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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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.
$96,000 a yearPart-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
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6+ years of experience in administration and support of NextGen Platforms built with Cloudera (CDH and CDP) and Big Data Technologies such as Hadoop, Flume, Solr, NiFi, HBase, Hue, Impala, Kafka, Kudu, Oozie, Spark, YARN, ZooKeeper, etc.
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5 Years of Experience with programming languages (e.g., Python, R), data visualization tools (e.g., Tableau, Power BI, Qlik), and big data technologies (e.g., Hadoop, Spark). Supports defining, enhancing, evolving and demonstrating Steampunk’s point of view and delivery approach related to Machine Learning, Data Science, Data Visualization, Data Engineering, Data Architecture, and Data Strategy services to the Federal market.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Provide technical guidance and support across various project facets, from data integration to troubleshooting.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Title: data project manager Company: E Solutions in Mclean, VA
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