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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
$148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in working with SQL, no-SQL and big data frameworks, MS-SQL, Casandra, MongoDB, Apache spark, Hadoop etc., middleware like Kafka, Flume, MQTT, Redis etc. Act as a subject matter expert on AWS cloud solutions, DevOps, and SRE practices within the organization.
$203,150 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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CF; Certification in big data technologies or cloud data services. %CF; Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka.
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Cloud data or AI related Microsoft Associate or Expert certifications are a plus (examples: Azure Administrator Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Data Engineer Associate, Azure Solutions Architect Expert, Microsoft Cybersecurity Architect Expert or similar.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Piper Companies is looking for a Data Scientist to join an elite educational non-profit in Washington, DC, to cluster large datasets across various container and data platforms. Keywords: Data Scientist, Location: Washington, DC - 20402.
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Key Responsibilities: Spearhead the analysis and strategy for migrating data warehouse systems to Oracle Cloud, establishing a robust Master Data Management (MDM) framework for enhanced data exchange and governance.
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5 years - Hands-on experience data mining and predictive modeling. Principal Data Scientist \Remote. The Principal Data Scientist role provides strong analytical and leadership expertise for advanced strategic projects supporting the Providence system.
$96.86 an hourFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Stewards, in partnership with the Office of Surface Mining Reclamation and Enforcement (OSMRE), seeks a Research Analyst to play an important role in assisting OSMRE’s Office for Equal Opportunity (OEO) to collect, analyze, and interpret data to determine primary Limited English Proficiency (LEP) populations located in areas where major coal mining industries are prevalent, in addition to other responsibilities.
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Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Experience with Informatica Tools Suite (EDC, Axon, IDQ) Data Management, and/or Data Governance Solution Architecture. DataBricks AWS cloud certification. Experience with data management, data lakes, data warehouses and specifically DataBricks.
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Experience with cloud-based data warehouses such as Snowflake, BigQuery, or Redshift. Familiarity with data visualization tools like Tableau, Looker, or Power BI. Knowledge, Skills, and Abilities: Strong background in data modeling, data warehousing, and data quality assurance.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data mining cloud jobs Title: data scientist in Washington, DC
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