Job summary
We are seeking a GeoSpatial Senior Developer with expertise in Java and Spark technologies to join our dynamic team. The ideal candidate will have 8 to 12 years of experience in developing scalable solutions leveraging Spark in Scala SQL and geospatial data processing. This hybrid role offers the opportunity to work on impactful projects during day shifts.
Responsibilities
- Develop and implement scalable geospatial solutions using Java Spark in Scala and SQL to meet project requirements and business goals.
- Collaborate with cross-functional teams to design test and deploy geospatial applications that enhance data-driven decision-making.
- Analyze complex geospatial datasets to extract meaningful insights and optimize data processing workflows for improved efficiency.
- Provide technical expertise in Spark and Scala to ensure high-performance data processing and seamless integration with existing systems.
- Oversee the development of geospatial algorithms and tools to support advanced analytics and visualization capabilities.
- Ensure adherence to coding standards and best practices to maintain the quality and reliability of geospatial applications.
- Troubleshoot and resolve technical issues related to geospatial data processing and application performance.
- Conduct regular code reviews and provide constructive feedback to team members to foster continuous improvement.
- Collaborate with stakeholders to understand project requirements and translate them into technical specifications and deliverables.
- Maintain documentation for geospatial applications including design specifications user guides and operational procedures.
- Stay updated on emerging technologies and trends in geospatial data processing and analytics to drive innovation within the team.
- Optimize Spark-based workflows to handle large-scale geospatial datasets efficiently and effectively.
- Contribute to the companys mission by developing solutions that address societal challenges through geospatial insights.
Qualifications
- Possess strong expertise in Spark in Scala SQL and Java with a proven track record of developing scalable geospatial solutions.
- Demonstrate proficiency in handling complex geospatial datasets and implementing efficient data processing workflows.
- Exhibit excellent problem-solving skills and the ability to troubleshoot technical issues effectively.
- Showcase strong collaboration and communication skills to work seamlessly with cross-functional teams and stakeholders.
- Have a deep understanding of geospatial algorithms and tools with the ability to design and implement advanced analytics solutions.
- Display a commitment to coding standards and best practices to ensure high-quality application development.
- Stay informed about emerging technologies and trends in geospatial data processing and analytics to drive innovation.
- Possess a minimum of 8 years of relevant experience in geospatial development and data processing.
- Show adaptability to work in a hybrid model balancing remote and on-site collaboration effectively.
- Demonstrate a proactive approach to learning and applying new technologies to enhance project outcomes.
- Exhibit strong documentation skills to maintain comprehensive records of application design and operational procedures.
- Have a passion for contributing to impactful projects that benefit society through geospatial insights.
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。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
