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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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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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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. Strong knowledge of Cloudera (Hadoop, HDFS, YARN, Hive, Spark) administration and managementHands-on experience with AWS services (EC2, S3, RDS, VPC, IAM, etc.
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The program delivers Engineering, Operations, Cybersecurity, and Service Management in support of a) Windows 10 and Windows 11 platforms managed using Microsoft Endpoint Management solutions, Microsoft Endpoint Configuration Manager (MECM) and Microsoft Intune in a hybrid joined Azure and on premises co-managed Active Directory; and b) MacOS environment (MacOS Monterey, Big Sur, Catalina) using the Casper Administration Management (CAM) and JAMF mobile device management system.
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BIG NIL Inc provides officially licensed print-on-demand apparel and merchandise products for student-athlete and school brands under the NIL. Through NIL policies, student-athletes may monetize their personal brand and endorsements while participating in sports.
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Experience in "Big 4" or equivalent established consulting firm and/or Microsoft Gold partner highly desired. Hands-on experience with D365 Customer Experience / Dynamics CRM / PowerApps / Power Automate technical solutions.
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Demonstrated knowledge of big data (e.g., Snowflake) and data processing (e.g., Databricks) integrations with Cloud platforms. Demonstrated knowledge of big data (e.g., Snowflake) and data processing (e.g., Databricks) integrations with Cloud platforms.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Center 2 (19050), United States of America, McLean, Virginia Senior Data Scientist, AI Foundations At Capital One, we think big and do big things. You thrive on bringing definition to big, undefined problems.
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3years progressive work experience, preferably with a "Big Four" or large regional public accounting firm, or in finance at a large public company. You will leverage your advanced education and experience to establish yourself in NVR's big picture and affect positive change.
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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Big data solutions for data lake implementations (Elasticsearch). Experience working with DevOps CI/CD related technologies (Azure DevOps, Git, Jenkins, Puppet, Docker, Confluence, Sonar Lint, and Junit.
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As a Quantitative Analyst 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 cloud 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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Exposure to Big Data Infrastructure such as Spark, Storm, and Hadoop. As a Cloud Engineer, you will design/ integrate systems, create cutting-edge solutions optimized for Amazon Web Services (AWS), provide hands-on Cloud analytics and Machine Learning consulting services to defense and intelligence customers in the federal government.
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Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.) Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as SQL, R, and Python on Linux and Big data platforms.
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big job Company: Caterpillar in Reston, VA
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