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Deliverables/Outputs: Data tables in the appropriate formats that have been quality assured. The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters maintains and updates a global MNCAH database which is a key source for country- and regional-level MNCAH data.
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As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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The Senior Manager, HEOR will spearhead the development and execution of HEOR and real-world evidence (RWE) plans, generating data that showcases the economic and humanistic value of Axsome's products.
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Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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As a ServiceNow Business Analyst, you’ll work directly with the ServiceNow project team to define client requirements and translate them into the creation of epics, and user stories with acceptance and testing criteria.
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You will work closely with the senior leaders in R&D (Discovery through to Pre-clinical and Clinical Development) on integrating QSP modeling into all facets of R&D. You will be counted on to develop strategies and processes for a role that will have great strategic impact on the company, which is undergoing an exciting metamorphosis by becoming a more digital, data-driven R&D enterprise.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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As a Principal Data Engineer, you will play a crucial role in designing, implementing, and optimizing our data infrastructure. Skills: SQL, Azure, Data Bricks, Data Lake, ETL, Data Security/Compliance/Governance, Azure DevOps, Data Factory, Big Data Platforms, Microsoft Azure Data Warehouse.
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Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data. Manage, organize all bioinformatics sequencing data in the lab. Utilize existing pipelines to process and analyze high-throughput sequencing data, including amplicon sequencing, bisulfite sequencing, metagenomics, viral integration.
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Support HR Functions such as talent development, talent acquisition, talent management, compensation, and diversity, equity and inclusion, by partnering closely with senior leaders to deliver value-add dashboards, metrics, reports, and analyses, that will further enable Ares to make data-driven decisions.
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Senior QA Architect with Test Process Management, Test Architecture, Test Maturity Models, TCoE Frameworks, E2E Test Automation, Quality Engineering, Test Data and Environment Management, Statistical Process Control, Project Integration and Delivery Management, ERP Testing, Enterprise Applications Testing, Legacy Modernization, Cloud Migration Testing, Product Engineering.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Conduct SaaS/OIC/ATP/FAW/EPM promotions, data refreshes (P2T) of SaaS, ATP databases and related post-refresh activities. Responsibilities include cloud infrastructure, enterprise architecture, data architecture, integration architecture, solution development, service support, application security and IT compliance.
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data quality jobs Title: senior data engineer Company: Guidehouse in New York, NY
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