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This role will be responsible for driving the development and implementation of an enterprise data strategy and architecture, including implementation of systems, tools and processes to enable critical use cases in data lineage and lifecycle management, analytics and reporting, systems integration, and process automation.
$223,800 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have extensive experience in MS SQL Server PL/SQL Medidata Rave RAVE Rave Custom Functions Rave Data Model and Rave Integration. Experience : 8Yrs - 10Yrs Location : Cambridge, MA (Remote) Required skills : MS SQLServer, PL/SQL Medidata Rave, Rave Custom Functions, Rave Data Model and Rave Integration.
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Experience with data integration platforms is a plus (e.g., Databricks) Interested in both backend service development and data analysis. 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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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work Minimum Requirements/Qualifications: PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7 years experience , or MS with 13 years experience, or BS with 15 years experience.
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Socialize and evolve Athenasoftware integration and UI requirements with software development and architecture stakeholders. 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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The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain.
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Minimum of 3 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM Infosphere DataStage, or any ETL applications.
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Role DetailFocus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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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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Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Assist in data integration into online collections management system and its upgrades. Contribute to the development of grant proposals, reports, research, and publications. In conjunction with Collections Manager, understand the importance of integrated pest management: document materials involved in making the glass flowers and document which pests may be attracted to them.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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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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Reconciliation and Data IntegrityReview reconciliation between Northern Trust and custodians; act as escalation point for Northern Trust with any issues and maintain aging reportMaintain data integrity and security master requirements and interfaces between various internal systemsResponsible for start of day process by ensuring trading platform is ready and data exceptions are resolved.
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integration data jobs Title: talent development in Boston, MA
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