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Geospatial Data Operations Lead
hace 3 meses
Established in 1998, our organization has evolved significantly, enhancing our mapping products and services through strategic partnerships. We specialize in providing insights into land and property by analyzing and visualizing complex geospatial data and imagery. Our proficiency in remote sensing and machine learning analytics serves various sectors, including insurance, construction, engineering, and urban planning.
Role Objective:
The Data Operations Manager plays a pivotal role in ensuring our products meet the high standards expected by our clients. This position is vital for overseeing data processes and leading a dedicated team of Data and Business Support Analysts, ensuring the successful delivery of data products while maintaining data integrity.
Key Responsibilities:
The primary focus of this role is to manage data operations and supervise a team of Geospatial Property Analysts.
The Data Operations Manager will:
- Lead and mentor a team of Geospatial Property Analysts, fostering professional development and engagement.
- Design and implement efficient data product delivery processes that meet quality benchmarks.
- Oversee the creation and maintenance of ETL (Extract, Transform, Load) pipelines to streamline data integration and analysis.
- Conduct quality assurance checks on data pipelines and products to ensure accuracy and reliability.
- Manage the setup and ongoing maintenance of database technologies.
Qualifications:
Essential:
- 3-5 years of experience in managing data products and their delivery.
- Proven track record in leading and managing data teams.
- Strong understanding of data processes, including ETL pipeline development and management.
- Extensive experience with database technologies, such as PostgreSQL or other RDBMS.
- Experience in quality assurance for data products and pipelines.
- Excellent problem-solving abilities to tackle complex data challenges.
- Strong communication skills for engaging with both technical and non-technical stakeholders.
- Ability to prioritize and manage multiple projects simultaneously.
- Exceptional organizational skills with a keen eye for detail.
Desired:
- A degree in a relevant field (e.g., Computer Science, Data Science, Geospatial Science).
- Familiarity with geospatial data and tools (e.g., ESRI, QGIS).
- Experience with data visualization techniques and tools.
- Knowledge of Agile development methodologies.
- Proficiency in programming languages such as Python and SQL.
Additional Information:
We are committed to fostering an inclusive workplace culture that values diversity and encourages professional growth. Our organization is recognized for its outstanding workplace environment and dedication to employee development.