AIA - Chennai | Weekend Drive
Drive Date: 01-Aug-2026
Experience: 5 Years to 8 Years
Skill: GCP, BigQuery, Python
Job Summary
Experience in Python/GCP .Familiar writing/interpreting/tuning/debugging complex SQL queries and stored procedures Distributed Multi-tier.Experience with scheduling tool such as Autosys or similar tools.Strong data profiling data analysis and data validations skills.Deep DBMS experience on multiple platforms (Incl. Oracle Teradata and SQL Server).Advanced understanding of data warehousing ETL concepts (esp. change data capture).
Responsibilities
Working experience as Agile developer and good understanding of SDLC methodologies/guidelines.Experience documenting test scripts and test plans.Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals.Eagerness to learn new technologies.Experience in Healthcare Industry
- Develop and implement scalable data processing solutions using PySpark and Apache Spark to optimize performance and efficiency.
- Collaborate with cross-functional teams to design and deploy BigQuery solutions that meet business requirements and enhance data accessibility.
- Utilize Python programming skills to automate processes and improve data workflows ensuring seamless integration with existing systems.
- Manage and optimize Cloud Dataproc environments to support large-scale data processing tasks and ensure high availability.
- Analyze complex datasets within the Payer domain to extract valuable insights and drive strategic decision-making.
- Provide technical expertise and guidance to junior developers fostering a culture of continuous learning and improvement.
- Ensure adherence to best practices in data security and compliance safeguarding sensitive information and maintaining trust.
- Troubleshoot and resolve technical issues promptly minimizing downtime and ensuring smooth operations.
- Collaborate with stakeholders to understand business needs and translate them into technical solutions that align with company goals.
- Conduct regular code reviews to maintain high-quality standards and promote efficient coding practices.
- Stay updated with the latest industry trends and technologies integrating them into projects to enhance innovation and competitiveness.
- Document processes and solutions thoroughly facilitating knowledge sharing and future reference.
- Contribute to the companys purpose by developing solutions that improve healthcare outcomes and benefit society. Qualifications
- Possess strong expertise in PySpark BigQuery Apache Spark Python and Cloud Dataproc essential for developing robust data solutions.
- Demonstrate experience in the Payer domain providing valuable insights and understanding of industry-specific challenges.
- Exhibit proficiency in cloud computing and data processing technologies ensuring efficient and scalable solutions.
- Show ability to work collaboratively in a hybrid work model balancing remote and in-office tasks effectively.
- Display excellent problem-solving skills crucial for troubleshooting and optimizing data workflows.
- Have a minimum of 6 years of relevant experience showcasing a solid foundation in technical and domain skills.
- Maintain a commitment to continuous learning and improvement staying abreast of emerging technologies and best practices.
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。
