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Experience reviewing in-vivo and in-vitro data including, but not limited to, inhalation, pathology, chemistry, PCR, and ELISA. The Data Coordinator is responsible for maintaining study files, reviewing data in real time, and ensuring that SOP, Protocol, and GLP requirements are met.
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Data Scientist BCforward is currently seeking a highly motivated Data Scientist remote opportunity. Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred.
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In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP. Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Our tech stack:AWS, Snowflake, Hadoop, DataBricks, Spark, R, Python, SQLIn this roleYou will design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services, and repositories of semi-structured data sets.
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Candidate must have experience working in data management as an analyst The Virginia Department of Transportation (VDOT) Business Integrated Solutions Division (BISD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Business Analysis and Testing Support team.
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Preferred Education, Experience and Skills: in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields. The Position Focus above most accurately describes this role, while the Principal Responsibilities provides general context for all Data Scientist roles at Yale. Principal Responsibilities include function as an embedded Data Scientist within DSS, collaborating across teams to create innovative data linkages that facilitate new research and policy evaluation.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Developing parameterized, interactive dashboards in QuiverIn addition to the above, the following skills and experience would also be desirable:Palantir Foundry Amplify data engineering certificationExperience of working with CI/CD technologies, building, and deploying Palantir data solutions to Cloud (AWS/Azure/Google Cloud), hands-on with Python, SQL, and Cloud provisioning tools To speak to a recruitment expert please contact MoreInformation.
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Req'd skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environ; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
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Responsibilities: Query and extract data from ERP databases such as Microsoft Dynamics NAV / Dynamics 365 Business Central and Infor SyteLine and other data sources such as SQL Servers (various), Access, and Excel.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card.
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Title: data Company: Global Fund For Women
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