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Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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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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Java 17, Kafka, AWS, GraphQL, AngularJS, CSS3, Docker, Hibernate, HTML5, Java, MySQL, Oracle RDBMS, React JS, Spring Boot, Spring Core, JavaScript. Good to have UI using Angular/React with Typescript, Node.js , CSS/SCSS and HTML.
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7+ years of experience in at least one of the following: JavaScript, React, Angular, Node, TypeScript, or Java. Utilize programming languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development.
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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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5+ years of extensive knowledge and experience in the Data technologies for Data Analytics, Data Warehouse, Data Mart, BI, Big Data (Hadoop, HBase, Hive), N, JDBC, SQL, Java, Python, R.
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Piper Companies is seeking a Data Science Content Writer for a start up organization. The Data Science Content Writer can either reside in the Austin area or work remotely CST or EST hours.
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The role requires hands on experience with AWS/Python for developing integrations/API's between ERP (Workday or Peoplesoft), Forecasting solution (Anaplan, Oracle, Workday Host analytics), Data lakes and Master data management (EDMCS.
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Knowledge of linear and angular kinematics and kinetics to evaluate human movement; Master's or doctorate degree in Biomechanics, Kinesiology, Exercise Science or a related field; The Bachelor of Science in Kinesiology is a nationally recognized program with accreditation by the Commission on Accreditation of Allied Health Education Programs (CAAHEP), and is recognized by the National Strength and Conditioning Association's Education Recognition Program (ERP.
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Practical understanding of MS Office, Excel, or other data visualization tools and big-data analytic techniques for structured and unstructured data. What You’ll Get to Do:As a CACI-SOAS C-UAS Signals Data Analyst, you will conduct data analysis of specialized C-UAS threat systems’ data to assist with Department of Defense (DoD) Force Protection (FP) efforts to understand, minimize and mitigate the threat posed by Unmanned Aerial Systems (UAS) against critical infrastructure, locations, assets and personnel.
$180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated full lifecycle delivery and support experience with Big Data technology stacks include Azure Data Lake, Azure Synapse, Cosmos DB, Databricks, Oracle, Service Now (SNOW), etc.
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Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) The salary range for this position is: Data Scientist $76,900 - $138,900 annually | Senior Scientist $95,000 - $159,675 annually.
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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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At least 10 years of Experienced with all the tasks involved in administration of big data and Meta Data Hub such as Cloudera. The selected candidate will be 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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