Job summary
We are seeking a skilled GeoSpatial Engineer with 5 to 8 years of experience to join our team. The ideal candidate will have expertise in PySpark and AWS and will work in a hybrid model with day shifts. This role involves developing and implementing geospatial solutions that enhance our data-driven decision-making processes contributing to the companys strategic goals and societal impact.
Responsibilities
Develop and implement geospatial data solutions using PySpark and AWS to support data-driven decision-making processes.
Collaborate with cross-functional teams to integrate geospatial data into existing systems and workflows.
Analyze complex geospatial datasets to extract meaningful insights that drive business strategies.
Design and maintain scalable geospatial data pipelines to ensure efficient data processing and storage.
Provide technical expertise in geospatial data analysis and visualization to support various projects.
Ensure data quality and integrity by implementing robust data validation and cleansing processes.
Optimize geospatial data processing workflows to improve performance and reduce latency.
Conduct research and stay updated on the latest geospatial technologies and trends to enhance our capabilities.
Develop documentation and training materials to support the adoption of geospatial solutions across the organization.
Collaborate with stakeholders to understand their geospatial data needs and provide tailored solutions.
Contribute to the development of innovative geospatial products that align with the companys strategic objectives.
Support the deployment and maintenance of geospatial applications in a cloud-based environment.
Troubleshoot and resolve technical issues related to geospatial data processing and analysis.
Qualifications
Possess a strong understanding of geospatial data concepts and technologies.
Demonstrate proficiency in PySpark for data processing and analysis.
Have experience working with AWS services for cloud-based geospatial solutions.
Show ability to work collaboratively in a hybrid work model.
Exhibit strong problem-solving skills and attention to detail.
Display excellent communication skills to convey technical concepts to non-technical stakeholders.
Have a passion for leveraging geospatial data to drive impactful business outcomes.
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
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, state or local laws.
Disclaimer:
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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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