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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
$172,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. We are looking for a self-directed professional support Digital Health Technology [DHT] (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Bio measures Endpoints and Study Technologies (BEST) projects.
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Conducts data analysis (SQL, Excel, Data Discovery, etc.) Conducts data lineage and impact analysis as a part of the change management process. Implement and maintain data governance policies and procedures to ensure data quality, security and compliance.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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In the first 6 months, you will work with the Chief Data Officer, Director of Data Management and Engineering, Platform Administrators and Data Architect to support data modernization efforts around enterprise data mesh using modern cloud data tools (Snowflake, IICS, Airflow) and the ability to produce core KPIs on agency activities through Tableau.
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Must have good work experienceknowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
$70 - $80 an hourFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have an interest in building data pipelines, an eye for data quality, and potentially a curiosity about or experience building APIs. Additionally, the candidate will have a strong customer first, embody a curious and think big approach to their work to help further innovation within the team, and be an engaged and respectful team member.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Expertise in distributed systems, microservices, and big data technologies (e.g., Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, PySpark). Research and evaluate emerging technologies in the big data space, guiding continuous improvement efforts.
$175,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Lead the engineering team to integrate cloud computing, big data, AI and blockchain technologies, plan, design and implement electronic medical record system and medical big data platform, realize the collection, storage, governance, big model, AI analysis, knowledge mining, visualization and application integration of multimodal medical data of the whole treatment cycle of patients, lead the business modeling and system analysis of the system, and participate in the system architecture design.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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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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The person will work directly with stakeholders across - ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/enhancing IT solutions for ESG reporting.
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Big Data / Data Lakehouse / traditional RDBMS/data warehouse/mart. Focus 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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