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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Leverage integrations with big data frameworks (e.g., Databricks) as needed to develop customer solutions. Pursuing a Computer Science/EE/Applied Math/Statistics/Data Science/Physics degree.
InternRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. and is the home to ReproRehab, an NIH-funded educational initiative to train rehabilitation researchers in data science and programming skills.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI-based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc. Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
$92,114 - $156,880 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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10+ years experience technically leading and/or implementing end-to-end data management activities, from foundational activities like data governance, data quality, and metadata management, to value-deliverables like data warehousing & BI, data science and analytics, and data driven applications.
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Cross-discipline teamwork is standard here: colleagues across JPL's science and engineering organizations and on Caltech's academic campus often work together. A newly selected project in the NASA Mars Data Analysis Program (MDAP) will require a postdoc to analyze data from the InSight mission, focusing on a perplexing feature of the data known as the 2.4 Hz resonance.
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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.
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Position Requirements:At least one academic year of completed study in a Master of Library and Information Science (MLIS) degree program or M.A. with concentration in Archival Studies, Digital Curation, Data Science, or equivalent experience.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team (within DDSI) is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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OR Master’s degree in Data Science, Computer Science, Computer Engineering or a closely related field of study and one year of experience as a Data Engineer, Business Intelligence Analyst, Data Analyst, Intelligence Analyst or a closely related occupation.
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Caltech.edu), provides science operations, user support, data and archive services, and scientific vision to maximize discovery with observatories both in space and on the ground. IPAC provides the SPHEREx Science Data Center, and we are responsible for the development and operation of the data pipeline and for the archiving and support of the data at the NASA/IRSA Infrared Science Archive.
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big data science jobs Company: Careerbuilder in Los Angeles, CA
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