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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.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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Amazon Web Services is seeking an dedicated Machine Learning Engineer that can combine open source technologies such as Spark, Hadoop and Presto, as well as AWS services like DynamoDB, Kinesis, Elastic Map Reduce and Redshift to build the next generation of our analytics and data orchestration platform.
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Preference will be given to candidates who are familiar with data governance and data security technology solutions Preferred Qualifications- Certifications such as CIPT, CIPM, CIPP, CISSP, CRISC, etc.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Partner with ADUSA Communications and Commercial Systems & Analytics to drive stakeholder communication and training activities related to the importance of accurate, timely, and complete vendor master data.
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Technologies: Microservices, AWS, Docker, Kafka, Kubernetes, Cassandra, Java 17, Kotlin, ReactJS, Spring Boot/Cloud/Data, Redis, Postgres. Our work depends on a Java Developer (Clearable) joining our team to support a GDIT program that we are the prime on and is located at Annapolis Junction, MD. As a J ava Developer (Clearable), you will develop highly efficient Microservices on a Linux operating system utilizing Java and Kotlin, for use in Docker/Kubernetes high-volume data-processing applications, while practicing modern Agile methodologies.
$120,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will examine industry trends, ticketing purchase history, athletic constituent behavior patterns, media engagement, and historic athletic donation data to drive business performance in the following verticals: Revenue associated with the Premium Seating, Ticketing, and Fundraising.
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UI/UX Collaboration: Collaborate with designers and data visualization developers to translate UI/UX designs into pixel-perfect web pages. Qualifications: Experience : 3-5 years as a Front-End Developer or similar role with a focus on data visualization and website integration.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$185,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and Data Science tools. Required Qualifications: CLEARANCE: TS/SCI clearance is required Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, with demonstrated experience with digital strategy, IT project management, enterprise architecture, SDLC (Software Development Life Cycle), or transformation.
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Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Are a practiced user of data processing software (example; MATLAB, or similar) and statistical data analysis software (example; JMP, Minitab, or similar). Have experience using test instrumentation (strain gages, DIC, transducers, signal conditioning) for data collection and troubleshooting.
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If so, we're looking for someone like you to join our team at APL. We are seeking an engineer to help us perform developmental design assessments, performance assessments and data analysis of strategic reentry vehicles.
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data job in Beltsville, MD
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