Virtual Care Coordinator
Job Description
Title : Data Architect / ModellerLocation : Peterborough, Great Toronto, ONDuration : 220 DaysNature of work : HybridMust HaveDatabricks Data Scientist position.
5 years + expertise in Azure DatabricksPython and R development experienceDescription : Responsibilities : Technical skills 70%Experience analyzing business requirements, design scalable and efficient Databricks architecture and coding with Python and R scripts as a data scientistExperience working with Azure Databricks to build data models, implement machine learning tasks as a Databricks expertWorking experience in designing data pipelines, optimizing data storage, and processing, Spark (parallel processing), Delta Table and Lake, Cosmos DB, Docker, and object-based and / or pixel image analyses and integrating Databricks with other components of the system, such as Azure Data Factory and Azure SQL DBSkills and experience working with modern geospatial raster and point cloud GPS (Global Positioning Systems) data products process and analysisSkilled in data engineering techniques, including data ingestion, transformation, API (Application Programming Interface), data streaming, and open-source code and tool integration.
Have experience working with various data sources and formats and be able to implement data pipelines using Azure Data Factory and Databricks with the context of remote sensing and resource management techniquesSolid understanding of data science principles and machine learning algorithms for application in geospatial and resource management scenarios Able to aid with tasks such as data exploration, feature engineering, model development, and model deployment on the Databricks platformProficient in optimizing Databricks workloads for performance and scalability.
Capable of tuning Spark configurations, optimizing data processing operations, and troubleshooting performance issuesExpert-level knowledge of cost control strategy, usage pattern analysis, and cost-saving measures.
Hand-on experience of generating comprehensive reports and analytics on resource usage, cost allocation, and performance metrics on DataBricks and Azure cloud servicKnowledgeable about best practices for data governance, security, and compliance on the Databricks platform.
Should provide guidance on data privacy, access control, and auditing Knowledge of user interface design principles and best practicesStrong problem-solving skills to diagnose and resolve issues during the implementation and maintenance of Databricks solutions.
Capable of identifying bottlenecks, troubleshooting errors, and proposing workflow optimization solutionsEnd to end responsibility of design, documentation, development, testing and deployment with Azure DatabricksExperience with or ability in remote sensing, sustainable resource management, Ontario’s Forest and Resource Industry, the forest resources inventory program (FRI) would be beneficial
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