About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a GCP Data Engineer to design, build, and maintain scalable data pipelines on Google Cloud Platform. This role focuses on developing robust ETL/ELT workflows, managing large-scale data processing, and enabling analytics through optimized BigQuery data warehouses. You will collaborate with analytics and BI teams to deliver high-quality, business-driven data solutions. The position requires strong expertise in GCP data services, data pipeline automation, and performance optimization.
In this role, you will:
· Design, build, and maintain scalable data pipelines on GCP using Dataflow and related services.
· Develop and manage ETL/ELT workflows using Dataform and BigQuery SQL pipelines.
· Implement data ingestion, transformation, and processing for both batch and streaming data workloads.
· Design, develop, and optimize data warehouse solutions in BigQuery for reporting and analytics.
· Ensure data quality, validation, and governance across data pipelines and datasets.
· Optimize performance and cost efficiency of queries and data processing pipelines.
· Collaborate with data analysts, BI teams, and stakeholders to deliver data-driven solutions.
· Implement monitoring, logging, and troubleshooting mechanisms to ensure pipeline reliability.
· Automate workflows and deployments using GCP tools such as Cloud Composer and CI/CD pipelines.
· Maintain documentation for data architecture, pipelines, and data models.
What you need to have to be considered
· 4–8 years of experience in data engineering with strong exposure to Google Cloud Platform.
· Hands-on expertise with GCP services such as Dataflow, BigQuery, Dataform, and Cloud Composer.
· Strong proficiency in SQL and experience building ELT/ETL pipelines.
· Experience with batch and streaming data processing frameworks.
· Solid understanding of data warehousing concepts and data modeling best practices.
· Experience with pipeline monitoring, logging, and performance optimization.
· Familiarity with CI/CD, automation, and infrastructure-as-code practices is a plus.
· Strong problem-solving and collaboration skills with the ability to work in Agile environments.
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Applications will be accepted until 26 Jun 2026.
Salary and Other Compensation:
The annual salary for this position is between $[95,500 - 109,000] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· Long-term/Short-term Disability
· Paid Parental Leave
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。
