Azure Databricks + Pyspark

AIA - Kochi - In Person Drive - 27th June 2026

Responsibilities

• Design and implement scalable data architectures using Databricks SQL and PySpark to support business objectives and data-driven decision-making.
• Collaborate with stakeholders to understand requirements related to Medicare and Medicaid Claims and translate them into technical solutions.
• Develop efficient data pipelines and workflows to process large datasets ensuring accuracy and reliability.
• Optimize performance of data solutions by identifying bottlenecks and implementing best practices for data processing.
• Provide technical guidance to team members on Databricks SQL and PySpark fostering knowledge sharing and skill development.
• Ensure compliance with data governance policies and security standards while handling sensitive Medicare and Medicaid Claims data.
• Conduct regular reviews of data solutions to identify opportunities for improvement and implement enhancements.
• Work closely with business analysts and domain experts to ensure alignment between technical solutions and business needs.
• Monitor and troubleshoot data systems to ensure seamless operation and minimal downtime.
• Document all technical processes workflows and solutions to maintain transparency and facilitate future scalability.
• Stay updated with the latest advancements in Databricks SQL PySpark and healthcare data management to incorporate innovative approaches.
• Collaborate in a hybrid work model ensuring effective communication and coordination with remote and on-site team members.
• Contribute to the companys mission by delivering impactful data solutions that improve healthcare outcomes and operational efficiency.

Qualification

• Demonstrate expertise in Databricks SQL and PySpark with a proven track record of implementing complex data solutions.

• Possess strong analytical skills to identify patterns and insights within healthcare data.
• Exhibit excellent problem-solving abilities to address technical challenges and optimize data systems.
• Display effective communication skills to collaborate with cross-functional teams and present technical concepts clearly.
• Show proficiency in hybrid work environments ensuring productivity and collaboration across remote and on-site settings.
• Demonstrate commitment to delivering high-quality solutions that align with organizational goals and societal impact.

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。
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