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Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark. Data Management and Storage: Microsoft Azure offers a variety of data storage options, including Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, and more.
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Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/ML techniques, Java, Impala, Hive etc.
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Represents GBS Data Governance in enterprise workgroups and data steward communities of practice. Serves as Data Steward as part of an Agile team dedicated to Claims Transaction data operations & initiatives.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Under direction of the Client Services Supervisor, the Data Processing Coordinator provides daily oversight of laboratory data processing services, ensuring efficient and high-quality specimen processing.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Job Description The MassHealth Systems Teams unit seeks a highly motivated individual as a Quality Assurance Tester to join its Data Warehouse Systems Quality Assurance (SQA) team. · Experience with data quality and remediation, data flows and mapping, or comparable experience (system or Data conversions, for example.
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Integrate multi-modal data sources (genomics, proteomics, imaging) into cohesive pipelines. Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL.
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Experience retrieving, cleaning, and analyzing large environmental datasets and geospatial data layers, such as land use, hydrography, climate, and water sampling data. + Experience with data analysis tools and platforms, such as R or Python programming languages for data cleaning and analysis and ArcGIS software for analyzing and mapping geospatial data.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Serving as a prominent ambassador for AI & Data Sciences at Novartis by presenting and publishing influential articles and research findings. Exceptional communication skills, allowing you to serve as a compelling ambassador for AI & Data Sciences at Novartis through presentations and publications.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Minimum of 3 years experience in data engineering, with substantial work on ETL pipeline construction, preferably in environments utilizing Fivetran, dbt, Snowflake, and Looker. Oversee the ingestion of data into Snowflake, employing tools like Fivetran as the data integration platform, and facilitate the operation of this data through dbt and Looker.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. Provide support for drug discovery projects through assistance with experimental design, flow cytometry techniques, and data analysis for pre-clinical and clinical studies.
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data job in Boston, MA
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