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We are looking for an experienced Clinical Data Associate who will oversee CDM projects and resources to ensure the quality, accuracy, and consistency of clinical data. Key ResponsibilitiesDevelop and design case report formsDesign and develop study databases as per CRF template, DB and configuration specificationsCreate and implement custom data validation rules and checks as per Data Validation PlanPerforms User Acceptance Testing of databases and documentation of testingAuthor CRF completion guidelinesUpdates control CDM documents: DMP, DVP, CCG etc.
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Hands on and at good years work experience working with Google Cloud Services like Big Query, Dataflow, Data Proc, Cloud Functions, Cloud Data Fusion, Cloud Composer etc. Certified as Professional Data Engineer - GCP.
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The Data Scientist will be responsible for building models that analyze natural language and extracting key insights for data manipulation and analysis. Seeking an experienced Data Scientist who has background in building models that analyze natural language and extract key insights.
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Demonstrating deep understanding of Azure and AWS platforms, including storage (Azure Blob Storage, AWS S3), compute (Azure VMs, AWS EC2), databases (Azure SQL Database, AWS RDS), and big data processing (Azure Databricks, AWS EMR.
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Proven experience as a Databricks ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools. Design, develop, and maintain data pipelines in Databricks and integrate data from various sources into the Databricks platform.
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SQL knowledge and data analysis skills for data anomaly detection and data quality assurance. · Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
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Generate, process, and analyze data to support Quality Systems metrics. Reporting to the Manager, the Quality Systems Associate will be responsible for providing day-to-day operational, and administrative support to the Quality team (QA, QC, Lab Systems, Lab Compliance) and all other GxP departments.
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Assisting Site Superintendent with some daily data collection tasks. Able to lead the effective implementation of operational best practices, risk management, and quality improvement initiatives.
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We are seeking a Senior Data Scientist to develop advanced billing solutions using data from our Teradata environments and billing systems. 6+ Experience as a Data Scientist. Job Title: Senior Data Scientist.
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Knowledge of data visualization and BI tools, such as Tableau and Power BI. Strong technical background in data and analytics technologies, including data warehousing, data lakes, and big data (Spark, Hive) platforms.
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This primarily consists of both Azure cloud, AWS cloud, MicroStrategy and On-Prem Data Warehouse environments, including but not limited to migration of legacy platforms to Cloud Infrastructure.
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Major Responsibilities:Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
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Monitor data quality and performance, and provide troubleshooting when needed. Strong experience with data stack like Snowflake, Informatica IICS, and Informatica Axon and their data models.
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This is a key role within the Operations Team that will serve as a Supplier Quality Engineer, responsible for ensuring that all products delivered from a supplier, packaging and other operational processes are in compliance with manufacturing specifications and company standards.
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Data Centre Engineer (MAAS Python Linux) Toronto / WFH to $150,000 CAD. As a Data Centre Engineer you'll take ownership of two new data centre locations in Toronto, including building software defined hardware management, working with, and developing data centre automation tooling (MAAS), interacting with vendors, asset tracking and handling deliveries.
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Title: quality data Company: Stanford University in Mississauga, On, Canada
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