Required Skills: Certifications Preferred: Microsoft SQL Server Certified, SSIS Professional Certified

Job Description

Position:   SQL  Developer

Location    Charlotte, NC (Hybrid Model)

Certifications Preferred: Microsoft SQL Server Certified, SSIS Professional Certified

Job Summary:

We are looking for a skilled Software Developer with 3 to 6 years of experience, particularly strong in Microsoft SSIS and MS SQL Server, to join our team in a hybrid capacity. The ideal candidate will have a solid understanding of geospatial data concepts and will play a key role in designing, integrating, and maintaining geospatial solutions that support strategic business objectives.

Key Responsibilities:

Develop and implement geospatial data solutions aligned with business goals.

Integrate and manage geospatial data using Microsoft SSIS and MS SQL Server.

Design and optimize geospatial databases for performance and scalability.

Work closely with cross-functional teams to gather and analyze requirements.

Develop and maintain geospatial data models, workflows, and documentation.

Ensure data integrity through thorough validation and testing.

Monitor geospatial data systems and troubleshoot performance issues.

Conduct regular data audits to maintain accuracy and consistency.

Mentor junior team members on geospatial best practices.

Keep up-to-date with emerging technologies in the geospatial domain.

Support data visualization efforts to aid business decision-making.

Required Skills:

Strong hands-on experience with Microsoft SSIS and MS SQL Server.

Proficient in geospatial data management and database design.

Familiar with ETL processes and data integration techniques.

Excellent analytical, problem-solving, and communication skills.

Ability to document technical processes and workflows clearly.

Preferred Background:

Bachelor's degree in Geography, Computer Science, or a related field.

Experience with geospatial visualizations and data presentation.

Self-motivated and able to work independently across multiple tasks.

Strong attention to detail and commitment to data quality.