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Data integration activities could include, the use of the following tools and languages: SSIS, T-SQL, P-SQL, BIML Studio, Visual Studio, PowerBI, Python, Scala, YAML scripting for data pipelines, Azure Data Factory, C#, Talend, AWS Glue, PowerShell, Databricks, DeltaLake, and/or Microsoft Synapse.
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc. Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
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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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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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Demonstrated experience in large scale multi-omics (e.g. bulk or single-cell, spatial sequencing, proteomics, epigenetics, and more), multi-modal data integration, network analysis, and meta-analyses.
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Data Integration: Integrate data from various sources into Power BI, ensuring data quality and consistency for accurate reporting. Performance Optimization: Optimize Power BI reports and data models for performance, ensuring quick and efficient access to insights.
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Working knowledge of energy management systems (EMS), battery cell technologies, power conversion systems (PCS), system integration, and long-term service agreements (LTSA)Working knowledge of large-scale, front-of-the-meter edge solutions and requirements for meeting NERC CIP compliance.
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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 Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Director, Quant Data Engineering. 7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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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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This role works with internal stakeholders and external vendors to define the data flow from collection at site or remotely through integration with the clinical database, for analysis and reporting.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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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.
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Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift. Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others.
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Design, implement, test, maintain and support web applications for clinical lab informatics, bioinformatics, digital pathology, anatomic pathology, and clinical pathologyPractices software development, unit testing, integration testing, code review, documentation, and version controlSupport data engineering efforts, including database and API design, data extraction/transformation/load and data aggregation/integration.
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integration data jobs Company: Draper in Cambridge, MA
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