Skill: GCP Bigquary
Experience: 6 o 12 years
Location: AIA Kochi
1.Job Title : Senior GCP Data Engineer
2.Job Summary :
The GCP Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud native data platforms on Google Cloud Platform. This role involves working with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and other GCP services to deliver reliable, high performance data solutions for analytics, machine learning, and business intelligence.
3.Experience : 6 to10yrs
4.Technical Skills : , BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Cloud Functions
Domain Skills : Retail/ Travel & Hospitality
5.Nice to have skills : BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Cloud Functions
Domain Skills
6.Technology : BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Cloud Functions
7.Shift :Day
8.Responsibilities :
Design and implement scalable, secure, and high performance data pipelines on GCP.
Build batch and streaming data workflows using Dataflow, Dataproc, Composer, and Pub/Sub.
Develop and optimize BigQuery data models, partitioning, clustering, and query performance.
Implement ETL/ELT processes using cloud native and open source tools.
Write efficient SQL and Python code for data transformation and automation.
Develop CI/CD pipelines for data workflows using Cloud Build, GitHub, or similar tools.
Automate data quality checks, validation frameworks, and monitoring.
Work closely with data analysts, data scientists, and business teams to understand requirements.
Translate business needs into scalable technical solutions.
Document architecture, data flows, and operational processes.
Strong analytical and problem solving abilities.
Excellent communication and documentation skills.
Ability to work independently and mentor junior engineers.
Proactive mindset with a focus on performance, reliability, and scalability.
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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