About the Role
We are seeking a Sr. Developer / Data Support Analyst with 3 to 5 years of experience in Informatica PowerCenter, Oracle, and MongoDB to join our Digital Engineering practice, supporting a leading private banking client. In this hybrid role, you will design, build, and support data integration and transformation solutions, ensuring seamless workflows, high data quality, and optimized performance across critical banking data pipelines.
Key Responsibilities
• Data Integration Development: Design and develop data integration solutions using Informatica PowerCenter to meet business requirements and ensure data accuracy and consistency.
• Workflow Administration: Manage, schedule, and monitor ETL workflows, sessions, and batch jobs using Informatica CLI (pmcmd, infacmd) and Informatica Scheduler.
• Database Development: Develop and optimize PL/SQL procedures, queries, and data models in Oracle to support integration pipelines.
• NoSQL Integration: Support integration flows involving MongoDB, ensuring seamless data exchange between structured and unstructured data sources.
• Performance Optimization: Identify bottlenecks in ETL processes and implement performance tuning across mappings, sessions, and workflows.
• Data Quality & Governance: Apply data validation, error-handling, and reconciliation practices to ensure compliance with data quality standards relevant to a regulated banking environment.
• Production Support: Provide L2/L3 support for scheduled jobs, troubleshoot failures, and ensure SLA compliance for critical data pipelines.
• Documentation: Maintain clear technical documentation for mappings, workflows, and support runbooks to enable knowledge continuity.
Required Qualifications
• 3 to 5 years of experience in data integration/ETL development, with strong hands-on expertise in Informatica PowerCenter.
• Practical experience with Informatica CLI (pmcmd, infacmd) for deployment, monitoring, and workflow administration.
• Proficiency with Informatica Scheduler for batch job orchestration.
• Solid working knowledge of Oracle databases and PL/SQL.
• Exposure to MongoDB or other NoSQL databases.
• Strong analytical and troubleshooting skills in production support environments.
• Fluent English, both written and spoken.
• Availability for a hybrid work model, Day shift.
Preferred Qualifications
• Prior experience in banking, private banking, or other regulated financial services environments.
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。
