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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 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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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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Experience in the integration with and configuration of: Hadoop, SQL Server Big Data Cluster, Kubernetes, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.) The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
$19 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Our base salary is just one component of Axon’s competitive total rewards strategy including benefits, an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies.
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Experience creating Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. Big Data systems (e.g., Cloudera Data Platform Private Cloud and Public Cloud.
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Excellent communication skills, both written and verbal, with the ability to convey complex security concepts to technical and non-technical stakeholdersCloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer Like we said, we are big fans of our people.
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Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
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Experience with big data technologies and tools (, Databricks, Hadoop, Spark) is a plus. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
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Active involvement with Data Migration strategy and design. Broad understanding of software development lifecycle, development management, release management, data migrations, cut-over planning, and early live support.
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A strong candidate can demonstrate the ability to apply scientific expertise together with commercial and legal considerations to understand our clients’ big picture in the commercialization sense; is comfortable with oral presentation and explanation of work product; is comfortable and effective at working independently; and is comfortable with remotely supporting supervising attorneys in multiple offices.
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big job Title: data Company: Intuit in Falls Church, VA
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