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The MassHealth Systems Teams unit seeks a highly motivated individual as a Data Warehouse Snowflake Migration Tester to join its Systems Quality Assurance (SQA) team. As a Data Warehouse Snowflake Migration Tester, you will be responsible for ensuring the successful migration of data warehouse systems to the Snowflake platform.
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Plan and oversee the migration of QMS data from TrackWise to Veeva QMS. Ensure data integrity, accuracy, and compliance during the migration process. Address technical challenges associated with data transformation and migration.
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Must have good work experience knowledge 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.
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These integrations include data extraction, transformation and loading (ETL), application interfaces, data warehouse/data mart population, ODS population, data synchronization, provisioning, migration, profiling and cleansing.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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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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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). The ideal candidate will have strong analytical skills, extensive experience with data visualization tools such as Salesforce CRMA and Tableau, and a deep understanding of fundraising metrics and processes.
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Cloud Migration: Spearhead the migration of on-premise workloads to Azure, focusing on data analytics and the setup of Azure Data Fabric. Architect and Implement Data Platforms: Lead the design, implementation, and management of a scalable enterprise data platform using Databricks on Microsoft Azure.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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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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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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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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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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Experience with DataBricks, Dataiku AWS SageMaker, Azure, and data pipeline management tools like Airflow. Acts as central steward of data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, considering the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive data science modeling tasks.
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Oversee the development of study-specific CDM documentation such as eCRF specifications, eCRF completion guidelines, edit check specifications, and data management plans identifying and mitigating risks to data quality and proper inclusion into the Trial Master File (eTMF.
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data migration jobs Company: Ey in Boston, MA
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