Geospatial Data Solutions Architect
2 days ago
Company Overview: Themesoft Inc. is a leading provider of innovative solutions in the field of geospatial data management and analytics.
Estimated Salary: $140,000 - $180,000 per year, depending on experience and qualifications.
Job Description:
Sr. Data EngineerLocation: Toronto, ON (Hybrid)
- We are seeking an experienced Sr. Data Engineer to lead the design and implementation of geospatial data solutions using Azure Synapse, ensuring optimal performance and scalability.
- You will oversee the development and maintenance of ETL processes using Azure Data Factory to ensure efficient data integration and transformation.
- As a Sr. Data Engineer, you will provide expertise in managing and optimizing data storage solutions within Azure Data Lake and Azure Data Lake Store.
- You will utilize Azure Databricks to perform advanced data analytics and machine learning tasks, driving actionable insights from geospatial data.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Ensure data quality and integrity by implementing robust data governance and validation processes.
- Develop and maintain comprehensive documentation for all data processes and solutions.
- Mentor and guide junior analysts, fostering a culture of continuous learning and improvement.
- Stay updated with the latest industry trends and technologies to ensure the company remains at the forefront of geospatial analytics.
- Conduct regular performance reviews and optimizations to ensure data solutions meet business needs.
- Provide technical support and troubleshooting for data-related issues, ensuring minimal disruption to business operations.
- Contribute to the development of best practices and standards for geospatial data management and analytics.
- Communicate effectively with stakeholders, presenting complex technical concepts in a clear and concise manner.
Responsibilities: In addition to the above, you will be responsible for providing expert-level guidance and support to junior team members, contributing to the development of new data analytics tools and solutions, and staying up-to-date with emerging trends and technologies in the field of geospatial data management and analytics.
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