GeoSpatial Analyst

TechDigital Group; Utah; Hybrid; USD 90,000 - 140,000; Full time

Job summary

TechDigital Group seeks a Geospatial Analyst MAP to design and optimize advanced geospatial data solutions using Databricks, Oracle and SQL in a hybrid work setting. The role builds robust spatial analytics pipelines, ensures data accuracy across complex datasets, and delivers actionable insights for business decisions.

You will collaborate with cross-functional teams to transform location-based data into strategic value for the organization and communities, while mentoring juniors and aligning

Qualifications

• Experience with Databricks notebooks, jobs and cluster optimization for geospatial workloads.
• Deep expertise in Oracle database administration and development supporting complex queries.
• Proficient in SQL with optimization, window functions and spatial queries.
• Solid knowledge of general database concepts including normalization and performance tuning.
• Understanding of geospatial concepts including projections and spatial joins.

Responsibilities

• Design and maintain scalable geospatial data pipelines in Databricks that integrate diverse spatial datasets to support analytics and reporting.
• Develop optimized SQL queries and spatial procedures in Oracle environments for accurate data handling.
• Analyze large map-centric data to identify spatial trends informing planning and resource allocation.
• Create geospatial visualizations and map dashboards for quick stakeholder understanding of insights.
• Collaborate with data engineers, data scientists and analysts to define geospatial data models and maintain standards.
• Implement data quality checks and governance for geospatial layers and metadata.

Skills

Databricks

Oracle

SQL

Geospatial analysis

Data pipelines

Tools

Oracle Database

Job description

GEOSPATIAL ANALYST MAP

Job summary :

GeoSpatial Analyst MAP will design and optimize advanced geospatial data solutions using Databricks, Oracle database, and SQL within a hybrid work environment. The role involves developing robust spatial analytics pipelines, ensuring data accuracy across complex datasets, and delivering actionable insights that guide business decisions. The analyst will collaborate with cross functional teams to transform location based data into strategic value for the organization and broader communities.

Experience : 10 to14Yrs 4.

Required Skills : ,

Oracle,Database and SQL,Databricks

Responsibilities : -

• Design and maintain scalable geospatial data pipelines in Databricks that integrate diverse spatial and non spatial datasets to support analytics initiatives and operational reporting.
• Develop optimized SQL queries and spatial procedures in Oracle database environments to ensure accurate retrieval, transformation, and aggregation of complex geospatial information.
• Analyze large volumes of map centric data to uncover spatial trends patterns and correlations that directly inform strategic planning and resource allocation for the organization.
• Create clear and precise geospatial visualizations and map based dashboards that help stakeholders quickly understand location based insights and make informed decisions.
• Collaborate with data engineers data scientists and business analysts to define data models for geospatial assets ensuring compatibility with existing enterprise database standards.
• Implement rigorous data quality checks and validation rules for geospatial layers and reference datasets to maintain high confidence in analytical outputs used by internal and external partners.
• Document geospatial data dictionaries processing logic and analytical methodologies so that teams can reliably reuse workflows and maintain continuity in long term projects.
• Provide expert guidance on geospatial data governance including coordinate reference systems metadata conventions and data retention practices to align with company policies.
• Evaluate new tools libraries and techniques for geospatial analysis in Databricks and related ecosystems to continuously improve performance scalability and feature depth of solutions.
• Coordinate with infrastructure and platform teams to tune Databricks clusters and Oracle database configurations so geospatial workloads run efficiently under varying data volumes.
• Support business teams by translating complex geospatial findings into concise recommendations that highlight operational efficiencies risk reduction opportunities and customer experience improvements.
• Contribute to the company purpose by using location intelligence to enhance service accessibility optimize environmental impact and support responsible growth in the communities served.
• Mentor junior analysts on best practices in geospatial analysis SQL coding standards and database design principles helping build a strong internal capability in spatial analytics.

Qualifications

• Possess extensive experience working with Databricks including building notebooks managing jobs and optimizing cluster usage for heavy geospatial data processing workloads.
• Hold deep expertise in Oracle database administration and development with proven ability to design tables indexes and spatial extensions that support complex analytic queries.
• Demonstrate strong proficiency in SQL covering query optimization window functions and spatial query constructs to efficiently handle large relational datasets.
• Bring solid knowledge of general database concepts such as normalization transaction management and performance tuning to maintain reliable and high performing data systems.
• Exhibit practical understanding of geospatial concepts including projections topology and spatial joins enabling accurate integration and analysis of diverse location based sources.
• Show experience operating in a hybrid work model using collaboration tools and structured communication practices to maintain alignment with distributed cross functional teams.
• Display comfort working standard day shifts with flexibility to coordinate across regions when necessary while maintaining consistent delivery on project milestones.
• Apply analytical and problem solving skills gained from at least ten years of professional experience to design robust solutions and troubleshoot complex data challenges.
• Prefer prior exposure to enterprise scale data platforms and cloud based analytics environments which strengths ability to integrate geospatial workloads with broader data ecosystems.