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2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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2+ years of experience with one or more of the following tools: Data Gathering & Analysis skills/tools (e.g. SAS, Python, SQL, Big Query, Vertex AI, Business Objects, Alteryx, etc.) Strong data visualization skills using Qlik Sense.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We are looking for a client facing Data Scientist who is excited to create exceptional client partnerships. At OneMagnify a Data Scientist supports our consulting teams with insights gained from analyzing data.
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Job Title : Senior Data Solutions Engineer - WebFocus, QlikSense & GCP. Develop and maintain data products on the GCP platform, including data extraction, transformation, and loading.
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Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies.
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4 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using data warehouses like Google BigQuery.
$75 an hourFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a Quality Scientist at Thermo Fisher Scientific Inc., you will have a unique opportunity to support a world-class life science manufacturing facility in Detroit. Handle documentation related to Quality Control, including data analysis, test data recording, and interdepartmental communications.
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Real-Time data streaming platform like Apache Kafka, Google Cloud Platform Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application. Design and implement data-centric solutions on Google Cloud Platform (Google Cloud Platform) using various Google Cloud Platform tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, Google Cloud Platform APIs.
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The position also requires developing dashboards and reporting using ETL and Data Visualization tools like Alteryx and Qlik Sense, with a strong knowledge of SQL and RESTful APIs. They should be proficient in SQL, Alteryx, Qlik Sense, Python, and cloud platforms like GCP, with experience in querying, manipulating, and visualizing data.
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Certification at the technologist, or medical/clinical lab scientist level from a nationally recognized agency, such as ASCP, AMT, ASM, AAB, AABB, ACS, or HEW is preferred. Coursework must align with duties of the specific section Medical Laboratory discipline position and meet the education Eligibility Routes for Medical Laboratory Scientist listed on the ASCP website at (ascp.org); or possesses a categorical scientist level certification as a BB, C, CG, CT, M, MB; or has met the requirements for AAB and/or AMT certifications.
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Experience with chassis or engine dynamometer facilities and an understanding of their operations with respect to vehicle drive cycles, emission reports, and data collection using ATI Vision/ETAS.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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O Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub o Microservices architecture to deliver large-scale real-time data processing application. Experience in IDOC processing, APIs and SAP data migration projects.
Full-timeExpandApply NowActive JobUpdated 14 days ago
Title: data scientist Company: Marketbridge in Detroit, MI
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