What are the responsibilities and job description for the GeoSpatial Developer position at Tekgence Inc?
GeoSpatial Developer
Location - Johnston , RI
Job summary :
We are seeking a highly skilled GeoSpatial Developer with 10 years of experience in Java.
The ideal candidate will have strong technical skills in Capture - Business Analyst, PD&PM - Data Analyst, Snowflake, and Spark.
This role is hybrid with no travel required and operates during day shifts.
The candidate will play a crucial role in developing and maintaining geospatial applications that support our business objectives.
10 Years Snowflake, Spark, Capture - Business Analyst, PD&PM-Data Analyst
Responsibilities : -
Develop and maintain geospatial applications using Java to support business objectives.
- Collaborate with business analysts to capture and analyze business requirements.
- Utilize Snowflake and Spark to process and analyze large datasets efficiently.
- Design and implement data models and structures to support geospatial data analysis.
- Ensure data quality and integrity by implementing robust data validation and cleansing processes.
- Provide technical guidance and support to team members on geospatial development best practices.
- Conduct performance tuning and optimization of geospatial applications to ensure high performance.
- Develop and maintain documentation for geospatial applications and processes.
- Collaborate with cross-functional teams to integrate geospatial applications with other business systems.
- Stay updated with the latest trends and technologies in geospatial development and data analysis.
- Participate in code reviews and provide constructive feedback to improve code quality.
- Troubleshoot and resolve issues related to geospatial applications and data processing.
- Contribute to the continuous improvement of development processes and methodologies.
Qualifications
- Possess strong technical skills in Java, Capture
- Business Analyst, PD&PM - Data Analyst, Snowflake, and Spark.
- Demonstrate experience in developing and maintaining geospatial applications.
- Exhibit proficiency in data modeling and data analysis techniques.
- Show expertise in performance tuning and optimization of applications.
- Have a solid understanding of data validation and cleansing processes.
- Display excellent problem-solving and troubleshooting skills.
- Possess strong communication and collaboration skills.
- Stay updated with the latest trends and technologies in geospatial development.
- Demonstrate the ability to work effectively in a hybrid work model.
- Show a commitment to continuous improvement and learning.
- Have experience in conducting code reviews and providing feedback.
- Exhibit the ability to develop and maintain documentation.
- Demonstrate the ability to work independently and as part of a team.
