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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Autodesk Forge development and data integration experience is a big plus. Hands on experience Dell Boomi Integration / Boomi Flow or other integration platform. Title: Dell Boomi Integrator.
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You have at least 3+ years of work experience as a data scientist in an analytics role. We are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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We are seeking a Consultative Computational Biologist with expertise in AI and data analytics to serve as a consultative strategic advisor and technical expert for decision-makers. 5+ years of experience in computational biology, bioinformatics, or related fields with a focus on data analysis using AI/ML.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Office of Court Research is charged with using data, research, and analysis to support data driven decision-making in the Judicial Branch. Oversee a cross-unit team in Court Research to support the Data Analytics Advisory Committee.
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Compute Fabric: Build the resource management infrastructure powering all big data and machine learning workloads. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Experience in data-driven optimization, including familiarity with databases, data modeling, and data analysis tools and techniques (e.g., SQL, NoSQL, data warehouses, Snowflake, BigQuery, etc.
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Global Fortune 500 companies like LVMH, Michelin, Schneider Electric, Toyota, Capgemini and non-profits trust Odaseva with their most complex data security challenges. We are: 🔥 Pro-equality, pro-diversity 🔥️ A team of smart and kind people (inspire emulation - not competition) 🔥️ A culture of professional excellence yet casual style 🔥 A place where you can make an impact and grow your career 🔥️ A company at the forefront of data & cloud innovation 🔥 A competitive employer 🔥 Truly international, with offices in Paris, San Francisco, Sydney and London 🔥 In favour of Flex office Odaseva is an EEO employer.
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Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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We are building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. Prior experience with modern data technologies stack such as Databricks, Airflow, etc.
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Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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big data jobs Title: hadoop consultant in San Francisco, CA
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