GeoSpatial Engineer MAP, Bangalore, Karnataka, India

Job summary

The GeoSpatial Engineer MAP will design implement and optimize geospatial data solutions that support mapping products and analytics for an international organization. The role involves building Python based geospatial pipelines integrating spatial datasets and enabling accurate visual insights for business users while working in a hybrid day shift model.

Responsibilities

Develop high quality Python based geospatial workflows that process transform and validate spatial datasets for enterprise mapping solutions

Design robust geospatial data models that improve spatial analysis accuracy and enable consistent mapping outputs across business units

Implement automated data ingestion routines that collect spatial data from multiple internal and external sources and standardize them for downstream use

Optimize spatial query performance in geospatial databases so that analytical dashboards and maps respond efficiently for global users

Build reusable Python modules that encapsulate core geospatial functions to reduce duplication and improve maintainability of mapping services

Collaborate with product and domain teams to translate location based business needs into clear geospatial engineering tasks and technical solutions

Create detailed geoprocessing workflows that support routing analysis site selection and territory planning for various business scenarios

Integrate geospatial services with enterprise applications so that maps and spatial analytics can be embedded into existing digital products

Implement rigorous data quality checks that detect spatial inconsistencies missing attributes and topology errors to maintain trust in mapping outputs

Develop monitoring scripts that track performance of geospatial services and automate alerts when processing time or data freshness thresholds are breached

Document geospatial architectures workflows and coding standards thoroughly so that teams can easily understand maintain and extend existing solutions

Collaborate with security and compliance teams to ensure that geospatial data handling aligns with regulatory expectations and company policies

Contribute to innovation initiatives by evaluating emerging geospatial tools and Python libraries that can enhance map accuracy and analytical capabilities

Qualifications

Demonstrate strong proficiency in Python including experience with core libraries that support data processing automation and integration activities

Exhibit hands on experience with geospatial concepts such as projections coordinate reference systems spatial joins and topology rules applied in real projects

Apply practical knowledge of geospatial tools or frameworks such as GIS platforms or spatial databases to design scalable location based solutions

Bring experience in handling medium to large spatial datasets and optimizing data pipelines so that geospatial processing remains reliable under production loads

Use sound understanding of software engineering practices such as version control testing and code review to maintain high quality geospatial codebases

Communicate clearly with multidisciplinary stakeholders to explain geospatial findings map outputs and technical constraints in accessible language

Leverage experience in working within hybrid teams and day shift schedules to collaborate effectively across onsite and remote colleagues in an international environment

关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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