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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
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Fidelity’s Asset Management Technologies business unit is looking for a Data Engineer, passionate about developing blockchain data solutions to support partners in the financial services industry.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred. Demonstrate a proven track record of efficiently collating, analyzing, visualizing, interpreting and communicating complex data sets using a repertoire of digital tools.
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We are looking for an experienced Master Data Management (MDM) Platform Engineer who will be responsible for the end-to-end management of our Master Data Management platform, leveraging Profisee software hosted on the Azure cloud.
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Ability to apply Data Quality, Data Visualization, Data Lineage and Machine Learning to develop, implement and maintain a best in class governance and control environmentAbout UsJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Familiarity with data standards, semantics, terminologies, ontologies, g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, UBERON, DOID, or others) is a plus. Scientist/Sr. Scientist Data Curator - Life Sciences Full-time remote position Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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Your toolkit should include a solid foundation in analytics, adeptness with Tableau, and familiarity with the contemporary data ecosystem (including tools like dbt, Snowflake, and SQL). The Business Intelligence Analyst is an experienced Tableau operator with three years of solid corporate analytics experience, adept at transforming complex data into digestible business insights and visualizations that guide strategic decision-making and KPI management.
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Experience using quantitative data analysis software helpful (e.g., SPSS, SAS, Minitab). Previous experience with grant writing, IRB submissions, data management, and database development, preferred.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$192,500 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Company: Simplyapply in Cambridge, MA
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