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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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The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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Data Transformation and Integration: Oversee custom data transformations, streaming data pipelines, and integration with various data sources including Epic Clarity, Infor, Strata, and genomic data registries.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Utilizing existing Infrastructure as Code (IaC) & Continuous Integration and Continuous Delivery (CICD) tooling for Monitoring and Observability services. Following the guidance of senior resources to utilize existing technology investments such as monitoring, AI, machine learning, data aggregation and visualization, alerting/notifications, automatic remediation, etc.
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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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In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Focus on the improvement of the overall performance for all data integration process, SQL Queries and Scripts.
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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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Provide advice to security administrators on normal and exception-based processing of security authorization requests including the use of system integration or product vendor tools that monitor system use and data access irregularities.
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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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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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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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A Director should have broad knowledge of at least three core CRE consulting disciplines - including CRE operating model and organizational design, CRE support for Mergers & Acquisitions (M&A) / Divestiture transactions (pre-deal due diligence, integration support, and separation support, post close support), portfolio, occupancy strategy, and CRE IT / digital workplace strategy.
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Create and maintain ETLs and data pipelines for continuous data integration and analysis. We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square.
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Oversee the development and testing of clinical databases and data cleaning procedures, utilizing Medidata Rave/Veeva, and enforce data integrity through comprehensive documentation and quality control.
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integration data jobs Company: Forrester in Cambridge, MA
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