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GeoSpatial Analyst MAP

00070506261


1. Job Title : GeoSpatial Analyst MAP 2. Job Summary : GeoSpatial Analyst MAP role for an experienced professional with six to eight years in geospatial data solutions cloud platforms and advanced analytics. The role focuses on building scalable geospatial applications on AWS using Java integrating agentic AI and Kafka for real time processing in a hybrid work model. Contributions will strengthen location based insights that support enterprise decisions and create better services for communities. 3. Experience : 6 - 8 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 geospatial data models and mapping solutions that transform complex location information into accurate and usable insights for enterprise stakeholders and social impact initiatives. -Develop robust Java based services that process geospatial data efficiently on AWS ensuring code quality resilience and maintainability for long term platform stability. -Implement Kafka based streaming pipelines that capture and distribute real time spatial events enabling responsive applications and improved operational decision making. -Configure AWS resources for geospatial workloads including storage computation and networking components to deliver secure scalable and cost optimized solutions. -Apply agentic AI techniques to automate geospatial analysis tasks and intelligent workflows so that mapping products continuously adapt to new data and changing business contexts. -Conduct detailed spatial analysis using diverse datasets to identify patterns risks and opportunities that directly support company strategies and societal benefits. -Collaborate with product owners data engineers and domain experts in a hybrid work setting to refine geospatial requirements and translate them into implementable technical designs. -Create clear technical documentation including data dictionaries workflow descriptions and solution runbooks that enable consistent understanding and smooth operations across teams. -Monitor performance and reliability of geospatial services on AWS and Kafka and perform tuning and optimization activities to maintain high availability and responsive user experiences. -Ensure rigorous data quality checks validation rules and error handling for all spatial datasets so business users can trust maps dashboards and analytic outputs. -Support integration of geospatial services with internal and external systems by designing well structured APIs and data exchange mechanisms that respect security and compliance standards. -Contribute to continuous improvement initiatives by evaluating new geospatial tools AI capabilities and cloud features and proposing enhancements that increase value to clients and communities. -Provide day to day technical support and issue analysis for geospatial applications during day shifts in a hybrid model ensuring minimal disruption and timely resolution for users. -Qualifications -Possess six to eight years of professional experience working as a geospatial or data oriented analyst with hands on exposure to enterprise scale mapping or spatial solutions. -Demonstrate strong proficiency in AWS services relevant to data processing and application hosting using them to design secure scalable architectures for geospatial workloads. -Exhibit solid Java development skills including object oriented design testing practices and debugging methods that are applied to build reliable geospatial processing components. -Show practical experience implementing Kafka based streaming or messaging solutions for real time data ingestion transformation and distribution of spatial or sensor information. -Display familiarity with agentic AI concepts and tools by configuring autonomous workflows or agents that perform complex analytical tasks on geospatial and related data. -Apply data analysis and problem solving skills to interpret spatial patterns and communicate findings in a clear manner to technical and business partners. -Maintain effective collaboration habits in hybrid teams by using digital communication and coordination practices that keep projects aligned and deliverables timely without travel. 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 [65CW00] 11. Demand Requires Travel? : No 12. Certifications Required : NA


Things to know before you apply

  • Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
  • Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
  • AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
  • Open position: Unless otherwise stated, this job posting is for an open position on our team.
  • Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
  • Inclusion: 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.

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.

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