Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
About the role
As a GCP Engineer, you will make an impact by designing, building, and optimizing scalable data pipelines and infrastructure on Google Cloud Platform, with hands-on, production-grade experience across Cloud Run, Cloud Composer, BigQuery, and Python. You will play a key role in architecting robust data solutions that support analytics, reporting, and business intelligence across the organization. You will be a valued member of the Data Engineering team and work collaboratively with data scientists, analysts, and business stakeholders.
In this role, you will:
• Design, develop, and maintain scalable ETL/ELT data pipelines on GCP, integrating services such as Pub/Sub, Cloud Storage, Dataflow, and Cloud Functions.
• Build and orchestrate complex workflows using Cloud Composer (Apache Airflow).
• Develop and deploy containerized microservices and event-driven data processing jobs using Cloud Run.
• Design efficient, high-performance data models and queries in BigQuery, including partitioning, clustering, and cost optimization strategies.
• Collaborate with data scientists, analysts, and business stakeholders to translate data requirements into technical solutions, while mentoring junior and mid-level engineers.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Houston, Texas. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
• 10+ years of overall experience in data engineering, software engineering, or related fields, including 5+ years of hands-on experience with Google Cloud Platform (GCP).
• Strong, demonstrable expertise in BigQuery, including query optimization, schema design, and partitioning/clustering.
• Hands-on experience with Cloud Composer / Apache Airflow (DAG design, orchestration, scheduling) and Cloud Run (containerized deployments, serverless architecture).
• Advanced proficiency in Python, including data processing libraries such as Pandas or PySpark, along with solid SQL and query performance tuning skills.
• Strong understanding of data warehousing concepts, data modeling (star/snowflake schema), and ETL/ELT design patterns.
These will help you stand out
• Experience with additional GCP services such as Cloud Storage, Pub/Sub, Dataflow, Dataproc, or IAM.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools such as Terraform, Cloud Build, or GitHub Actions.
• Experience with Git-based version control and Agile/Scrum development practices.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
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。
