GeoSpatial Sr.Analyst MAP

Cognizant; Bengaluru Urban; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Cognizant is hiring for a hybrid GeoSpatial Senior Analyst MAP role focused on advanced geospatial data analysis and solution design using AI data orchestration and robust API integrations to build scalable mapping products.

The role requires 6–10 years of experience in agile environments, with programming expertise in C++ and Roku SDK, and knowledge of secure connectivity via telnet, to support diverse spatial initiatives across businesses.

Qualifications

• Six to ten years of progressive geospatial or data analysis experience.
• Experience with agile and scrum practices.
• Hands-on AI for geospatial data including model development.
• Advanced data orchestration and data modeling skills.
• C++ development experience with Roku SDK.
• Knowledge of API design and secure connectivity (telnet).

Responsibilities

• Design geospatial data solutions transforming spatial information into mapping products.
• Lead end-to-end data orchestration workflows integrating multiple data sources.
• Develop performant C++ components for high-volume geospatial processing.
• Apply AI techniques to geospatial data to detect patterns and forecast trends.
• Implement secure connectivity and data exchange using telnet where applicable.
• Collaborate in agile teams to plan sprints and refine backlogs.
• Design scalable API integrations exposing geospatial services to apps.
• Model geospatial data structures with spatial relationships and temporal attributes.
• Integrate geospatial features into Roku SDK driven experiences.
• Establish data quality standards with validation and anomaly detection.
• Provide documentation and guidance on geospatial tools and workflows.
• Coordinate with product ops/analytics in a hybrid work model.
• Optimize processing pipelines for day shift with reliable updates.

Skills

Geospatial data analysis

Agile & Scrum

Data modeling

C++ programming

Roku SDK

Telnet connectivity

Tools

Telnet

Job description

Job Summary

This hybrid GeoSpatial Senior Analyst MAP role focuses on advanced geospatial data analysis and solution design using artificial intelligence data orchestration and robust API integrations to build accurate scalable mapping products. The role requires six to ten years of experience working in agile and scrum environments applying data modeling practices and programming expertise in C plus plus and Roku SDK while ensuring secure connectivity through telnet. The analyst will collaborate wit

Job Summary

This hybrid GeoSpatial Senior Analyst MAP role focuses on advanced geospatial data analysis and solution design using artificial intelligence data orchestration and robust API integrations to build accurate scalable mapping products. The role requires six to ten years of experience working in agile and scrum environments applying data modeling practices and programming expertise in C plus plus and Roku SDK while ensuring secure connectivity through telnet. The analyst will collaborate wit

Responsibilities

• Design comprehensive geospatial data solutions that transform complex spatial information into clear mapping products enabling business teams to make informed strategic decisions that positively impact communities and digital services.
• Lead end to end data orchestration workflows that integrate multiple geospatial and non geospatial data sources ensuring that mapping outputs remain accurate consistent and timely for a wide range of business and societal use cases.
• Develop robust application components using C plus plus with a focus on performance and stability supporting high volume geospatial data processing and responsive interfaces that enhance customer mapping experiences.
• Apply artificial intelligence techniques to geospatial datasets to detect patterns forecast trends and generate actionable insights that improve service reliability resource allocation and operational efficiency across the organization.
• Implement and maintain secure and efficient connectivity solutions using telnet where appropriate supporting data exchange and system monitoring for geospatial platforms while adhering to stringent security and compliance standards.
• Collaborate within agile and scrum teams to plan sprints refine backlogs and deliver incremental geospatial features ensuring that mapping capabilities evolve rapidly in line with product priorities and user feedback.
• Design and document scalable API integrations that expose geospatial services and mapping functionalities to internal and external applications enabling seamless interoperability and expanding the reach of spatial insights across products.
• Build and maintain data modeling structures tailored for geospatial information including spatial relationships and temporal attributes to support advanced analytics optimized queries and reliable reporting for decision makers.
• Contribute to Roku SDK based solutions by integrating geospatial features and location driven content into streaming experiences improving the relevance and personalization of services offered to diverse audiences.
• Establish and maintain rigorous data quality standards for all geospatial assets overseeing validation checks anomaly detection and continuous improvement practices that strengthen trust in mapping outputs company wide.
• Provide clear technical guidance and documentation to stakeholders on geospatial tools APIs data models and artificial intelligence workflows enabling teams across the organization to leverage spatial insights effectively.
• Coordinate with product operations and analytics stakeholders in the hybrid work model to prioritize mapping requirements resolve technical challenges and ensure that geospatial capabilities align with broader company goals and societal impact.
• Optimize geospatial processing pipelines for day shift operations with no travel requirement ensuring reliable system performance timely delivery of mapping updates and minimal disruption to customers who depend on accurate spatial information.

Qualifications

• Possess six to ten years of progressive experience as a geospatial or data analyst working with complex spatial datasets delivering production ready mapping solutions that support critical business decisions and social outcomes.
• Demonstrate strong proficiency in agile and scrum practices including sprint planning story refinement and iterative delivery ensuring that geospatial features are shipped on schedule and continuously improved through feedback.
• Show deep hands on expertise in artificial intelligence applied to geospatial data including model development evaluation and deployment with a focus on solving real world spatial problems and enhancing predictive capabilities.
• Exhibit advanced skills in data orchestration and data modeling designing resilient pipelines and well structured schemas that support geospatial analytics reporting and long term data governance objectives.
• Bring practical experience in building performant components in C plus plus and working with Roku SDK creating responsive and reliable features that integrate geospatial content into broader digital products.
• Demonstrate working knowledge of API design and integration for geospatial services including authentication error handling and scalability considerations to ensure secure and dependable access to spatial data.
• Show familiarity with telnet and related connectivity practices in controlled environments enabling secure diagnostics data transfer or system monitoring tasks that support geospatial platforms.