1. Job Title : GeoSpatial Sr.Analyst MAP 2. Job Summary : GeoSpatial Senior Analyst MAP will design and optimize advanced geospatial data solutions on cloud infrastructure combining AWS native capabilities with modern event streaming and agentic AI automation. The role involves building scalable Java and Kafka based services that transform complex spatial datasets into actionable insights enabling accurate mapping efficient operations and socially impactful location intelligence for global business stakeholders in a hybrid work environment. 3. Experience : 8 - 10 years 4. Required Skills : Technical Skills: AWS Claude Agentic AI Kafka Java Domain Skills: 5. Nice to have skills : Domain Skills: 6. Technology : Custom Service 7. Shift : Day 8. Responsibilities : -Design and implement scalable geospatial data processing pipelines on AWS to efficiently handle large volumes of spatial and temporal datasets for mapping and location intelligence use cases. -Develop robust Java based microservices that integrate geospatial libraries and business logic to deliver reliable map driven features and analytical tools for internal and external consumers. -Configure and manage Kafka based event streaming architectures to support real time ingestion of location data and geospatial events ensuring low latency and high throughput data flows. -Apply agentic AI techniques to automate geospatial data enrichment correction and classification tasks so that mapping outputs maintain high accuracy and operational relevance. -Collaborate with product and business teams to translate complex geospatial requirements into technical designs that drive measurable outcomes for transportation logistics planning and public service optimization. -Optimize cloud resource usage across AWS services such as compute storage and data analytics tooling to ensure cost efficient and resilient geospatial platforms for enterprise scale deployments. -Conduct detailed spatial analysis and modeling activities to uncover patterns trends and risks in geographic data thereby supporting strategic decision making and societal impact assessments. -Create and maintain comprehensive documentation for geospatial data models service interfaces and processing workflows to promote transparency repeatability and cross team collaboration. -Implement rigorous testing validation and monitoring practices for geospatial services ensuring data quality system reliability and timely detection of anomalies in production environments. -Provide advanced technical guidance to peers and partner teams on best practices for geospatial architecture event streaming integration and AI supported mapping workflows. -Engage with security and compliance stakeholders to align geospatial solutions with enterprise standards covering data governance privacy controls and responsible AI considerations. -Coordinate with operations teams in a hybrid work setting to plan releases incident responses and performance tuning activities that support stable day shift operations without travel obligations. -Continuously research emerging geospatial technologies cloud capabilities and agentic AI frameworks integrating relevant innovations that enhance mapping precision and societal value delivery. -Qualifications -Possess eight to ten years of progressive experience in geospatial analytics and application development with a strong focus on enterprise scale mapping solutions and data driven decision support. -Demonstrate advanced proficiency in AWS services for data processing storage analytics and application deployment enabling secure and resilient cloud native geospatial platforms. -Show strong hands on expertise in Java programming including experience with geospatial libraries data structures and service oriented architectures used for mapping and spatial analysis. -Exhibit solid practical experience with Kafka or comparable event streaming technologies to design high throughput real time data ingestion and distribution mechanisms for geospatial workloads. -Apply working knowledge of agentic AI concepts and tools to design autonomous workflows that manage geospatial data curation feature extraction and insight generation with minimal manual intervention. -Display familiarity with Claude or similar AI assistants to support code generation documentation drafting and analytical exploration within geospatial and cloud engineering projects. -Bring experience in hybrid work models and enterprise collaboration platforms ensuring effective communication requirement gathering and solution delivery within distributed teams and day shift schedules. 9. Job Location : Primary Location :INWBKOLA09(ITIND Kol-Candor-Unit3 BLDG G1&C1SEZ) Alternate Location :NA NA Alternate Location 1 :NA NA 10. Job Type : Business Associate [60CW00] 11. Demand Requires Travel? : No 12. Certifications Required : NA
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
