Gis Developer Goals and Objectives Examples
Develop and maintain GIS applications to meet specifications.
Create GIS data models that accurately represent real-world phenomena.
Collaborate with external stakeholders to align GIS technology with business needs.
Provide technical support for GIS users across the organization.
Stay current with emerging GIS technologies and trends.
Ensure GIS software is up-to-date and free of bugs and errors.
Conduct analysis of spatial data to inform decision-making.
Design custom cartographic products that effectively communicate information.
Create interactive web maps for end-users to explore and query data.
Develop automated workflows to increase GIS productivity and accuracy.
Troubleshoot and resolve issues related to GIS data quality.
Coordinate with IT department to ensure GIS software and hardware are properly integrated.
Work with other departments to identify opportunities for GIS integration.
Develop training materials and provide training sessions to end-users.
Manage multiple projects simultaneously with minimal supervision.
Participate in cross-functional teams to develop enterprise-wide solutions.
Design, develop, and maintain GIS databases and data structures.
Create scripts to automate repetitive GIS tasks.
Perform spatial analysis using statistical methods and modeling techniques.
Prepare reports, presentations, and other documentation related to GIS activities.
Implement data security protocols to protect sensitive GIS data.
Improve workflows by identifying inefficiencies and proposing solutions.
Develop QA/QC processes to ensure GIS data accuracy and completeness.
Participate in GIS user groups, conferences, and training events.
Assist in the development of GIS standards and procedures.
Translate complex GIS concepts into easy-to-understand language for non-GIS users.
Develop dashboards and visualizations to track key performance indicators.
Monitor and maintain GIS hardware and software infrastructure.
Evaluate third-party tools and applications for potential integration with GIS.
Contribute to the development of GIS-enabled mobile devices, applications, and platforms.
Stay up-to-date on federal, state, and local regulations that impact GIS activities.
Explore new avenues for GIS expansion, including virtual and augmented reality.
Test and implement new software releases and updates in a timely manner.
Plan, coordinate, and oversee GIS-related projects from start to finish.
Maintain accurate records of GIS data sources, procedures, and metadata.
Conduct research on new datasets, data sources, or data integration methods as needed.
Promote awareness of GIS technology across the company.
Use geostatistical methods to model spatial data patterns and relationships.
Enhance existing GIS tools through customization or modification.
Identify gaps in current GIS capabilities and propose solutions to fill those gaps.
Create and maintain user manuals, tutorials, and help documents for GIS applications.
Work closely with other departments to analyze their geospatial needs and requirements.
Develop custom web-based mapping applications using JavaScript, HTML, CSS, and other web technologies.
Provide recommendations for hardware and software upgrades to support increased functionality of the system or application.
Quickly identify problems within the system or application and provide timely solutions.
Collaborate with team members across various departments to manage large-scale projects from inception through completion.
Analyze customer feedback to improve the user experience of the system or application.
Continuously refine processes related to configuration management and version control to ensure streamlined change management processes throughout the project lifecycle.
Create detailed documentation that outlines technical specifications of the system or application architecture, design, code, test plans, installation instructions, etc.
Create customized user interfaces that allow for efficient and effective interactions with the system or application.
Address system or application performance issues caused by excessive load or capacity constraints.
Design system architecture that is scalable, robust, resilient, secure, high-performing, maintainable, available, recoverable, and testable.
Monitor system or application performance metrics for areas that require improvement or optimization suggestions.
Work collaboratively with cross-functional teams to troubleshoot issues related to the system or application architecture.
Develop algorithms that process large volumes of data efficiently.
Work collaboratively with product owners to define requirements for new features in the system or application.
Design and implement data integrations across disparate systems to ensure data consistency.
Optimize database design for high-performance data retrieval.
Demonstrate a deep understanding of established coding best practices such as modularization, abstraction, encapsulation, inheritance, polymorphism, etc.
Develop APIs that are flexible, well-documented, simple-to-use, secure, reliable, performant, scalable.
Ensure code quality by conducting thorough testing (unit tests, integration tests, acceptance tests) utilizing automated testing frameworks.
Utilize agile methodologies to manage project timelines.
Develop regression tests suites that validate system functionality after changes have been made.
Define software architecture patterns such as Model-View-Controller (MVC), Microservices Architecture Pattern etc.
Minimize resource utilization (CPU usage, memory usage) by optimizing algorithms.
Ensure high availability by implementing redundancy at all layers of the system architecture.
Continuously improve system robustness by monitoring logs for error messages which require remediation.
Leverage automation tools such as Ansible or Terraform to automate cloud infrastructure provisioning.
Implement container orchestration solutions such as Kubernetes to manage microservice deployments.
Work collaboratively with DevOps engineers to streamline deployment pipelines.
Continuously monitor systems uptime by leveraging monitoring solutions such as Prometheus or Grafana.
Ensure team productivity by providing mentorship to junior developers.
Advocate for software engineering best practices across the organization.
Empower engineering teams with knowledge of emerging technologies.
Contribute open-source libraries or modules when applicable.
Provide input on hiring processes related to engineering positions.
Ensure software meets accessibility guidelines such as Web Content Accessibility Guidelines (WCAG) 2.x.