About the Role
As a Senior Data Engineer, you will design and build scalable Data Hubs that support analytical, reporting, operational, and Generative AI use cases. This role involves defining standards, best practices, and architecture patterns, mentoring engineers, and ensuring high-quality data solutions.
Key Responsibilities
· Data Hub Architecture – Design and implement efficient, scalable Data Hubs integrating multiple data sources.
· Technical Leadership – Define best practices, patterns, and standards, ensuring consistency across implementations.
· Mentoring & Strategy – Guide engineers, review code, and provide technical direction.
· Data Pipelines – Develop batch and real-time data processing workflows.
· Quality & Monitoring – Implement data validation, anomaly detection, and automated monitoring, taking action when needed.
· Automation & CI/CD – Enable seamless deployment and infrastructure automation.
· Security & Compliance – Ensure data governance, security, and regulatory compliance.
· Documentation – Maintain clear, structured technical documentation.
Required Skills and Experience
· Python, SQL – Strong data engineering and automation expertise.
· Databricks & Spark – Deep knowledge of Databricks (primary tool) and Apache Spark.
· Azure Data Stack – Experience with Data Factory, ADLS, Synapse, Azure SQL, Event Hubs.
· Real-Time Processing – Expertise in streaming data and real-time analytics.
· Automation & DevOps – Proficiency in CI/CD, Terraform, Kubernetes/AKS, Docker.
· Leadership & Mentoring – Ability to set direction, mentor engineers, and drive best practices.
· Documentation & Communication – Clear, structured technical writing and knowledge sharing.
· Language Skills – English proficiency, minimum B2 level. Polish proficiency, minimum B2 level.
Technology Stack
· Primary Tools – Databricks, Apache Spark, Delta Lake.
· Azure Services – Data Factory, ADLS, Azure SQL, Synapse, Azure DevOps, Event Hubs.
· Development & Automation – Python, SQL, GitHub, Terraform, Docker, Kubernetes/AKS.
What We Offer
· Private healthcare, life insurance, and cafeteria benefits
· Training programs and certifications
· Inclusive culture and volunteering opportunities
· Employee referral program
· Collaborative, innovative environment
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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确。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。
