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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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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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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.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena. Creating and driving large scale big data analytics pipelines. Rackner is seeking a Sr. AWS Data Engineer that will:Data IngestionData PipelineWebsite work.
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Develop scripts to manage and migrate infrastructure as code (IaC) using Python/Terraform or AWS CloudFormationImplement data governance policies and practices to ensure the accuracy, consistency, and security of organizational data.
$118,800 - $205,920Full-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proven experience conducting large scale data analysis and utilizing big data tools such as Maltego, Palantir, Tableau, etc. Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
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Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Big Data Technologies: Experience with big data technologies like Apache Spark or Apache Kafka. Agile Development: Experience with Agile software development methodologies and tools, including Git and Jira. Technical Knowledge: Demonstrated knowledge with some of the following software/tools: Apache NiFi, AWS Cloud environment, Java, Python, NodeJS, SQL, R, Hadoop, PySpark, Java, Git, Bash, Linux/Unix based OS. AI/ML Expertise: Experience in applying machine learning algorithms and artificial intelligence techniques in data processing and analytics.
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Center 2 (19050), United States of America, McLean, Virginia Manager, Ontology and Data Modeling- Retail Bank The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Companies like Netflix, Lyft, Facebook, The New York Times, and Tinder (yeah, that Tinder) are looking to Elastic to help solve their big data problems. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale.
$65,900 - $90,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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For further inquiries regarding the following opportunity, please contact one of our Talent Specialist Sony | (630) 847 1417 Dipankar | (224) 507 1264 Title: Microelectronics Data Analyst (Remote) Duration: 1 to 2 months Location: Remote (Work from home) Position Overview: Our client, a company specializing in government contracts in the microelectronics sector, is seeking a skilled Microelectronics Data Analyst to join their team on a remote basis.
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big data jobs Title: data manager Company: Accenture Contractor Jobs in Arlington, VA
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