What makes Cognizant a unique place to work? The combination of rapid growth and a unique place international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.
Position Summary:
We are seeking a highly skilled Senior GCP Data Engineer to design, build, and optimize enterprise-scale data infrastructure and processing platforms. The role is responsible for defining robust data architectures, engineering high-performance batch and real-time data pipelines, and ensuring secure, scalable data integration strategies. Acting as a technical lead, the candidate will collaborate with cross-functional teams and stakeholders to transform complex data requirements into actionable analytics platforms and streamline enterprise data operations through automated deployment practices.
Mandatory Skills:
•Minimum 9+ years of professional experience in Data Engineering, Software Development, or Data Analytics.
•Minimum 5+ years of hands-on experience in architectural design and delivery using Google Cloud Platform (GCP) core services, including BigQuery, Pub/Sub, GCS, Cloud Functions, Cloud Run, Cloud Scheduler, Cloud Composer (Airflow), Python, and SQL within enterprise cloud technology ecosystems.
•Strong technical experience managing operations on Vertex AI, Gemini Enterprise Agent Platform, and Google Agent Development Kit.
•Proven experience building and maintaining robust CI/CD pipelines using Azure DevOps, along with deployment automation tools for GCP services and change management workflows.
•Demonstrated experience working within Agile, Scrum, and Continuous Delivery development frameworks
Duties and Responsibilities
Design, implement, and maintain scalable data pipelines and robust data architectures using GCP services.
•Develop and optimize complex ETL/ELT processes to ingest, standardize, transform, and load data from diverse on-premises and cloud-based sources.
•Tune and optimize data workflows and pipeline performance for reliability, speed, and cost-efficiency.
•Work closely with clients and stakeholders to analyze data requirements, model data structures, and deliver end-to-end analytics and reporting solutions.
•Monitor, troubleshoot, and resolve data pipeline issues proactively by building automated deployment and monitoring tools.
•Provide technical leadership to the engineering team to deliver high-quality data projects.
•Implement and enforce data quality, data governance, and security best practices across the enterprise data ecosystem
Salary Range:>$100,000
Date of Posting: 21-Jul-26
Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
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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