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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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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets. As Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Eagle Bank. We are a place where we take pride in our low egos, value curiosity and learning.
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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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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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Expertise with data warehouse tools (e.g., BigQuery, Snowflake, Redshift, etc) Expertise with data visualization tools (e.g. Looker, Power PI, Tableau, R) In addition to the creation of custom software and data models within an Agile & DevSecOps environment, the candidate should exhibit excellent problem solving and data analysis skills as well as a proven ability to work independently.
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The division manages the IMF's Big Data Center, supporting Fund departments and IMF member countries with resources to engage in innovative projects utilizing data to help address and inform macroeconomic and financial policy development and research.
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Practical understanding of Intel-related databases such as M3, TAC, NCTC Online, TIDE, and SIGINT databases such as ICReach and Cultweave SIGINT. Practical understanding of MS Office, Excel, and big-data analytic techniques for structured and unstructured data.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. The Red Gate Group is seeking a TS/SCI cleared Site Reliability Engineer to support the Defense Threat Reduction Agency (DTRA) in Reston, VA.
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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. Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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6+ years designing, implementing, and managing cloud big-data architectures (Databricks, Hadoop, EMR, Spark, Redshift etc.) Develop and design complex solutions through collaboration across various data, data-centric applications, and/or Big-Data cloud architectures.
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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Job Description 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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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. Work with us to use big data for good.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - 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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big data jobs Title: data Company: Accenture Contractor Jobs in Mclean, VA
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