Job Summary
We are seeking a highly experienced Data Engineering professional with 12 to 14 years of IT experience specializing in Azure Databricks and modern data platforms. The ideal candidate will lead the design development and optimization of large-scale data solutions ensuring scalability performance and security across enterprise environments.
Responsibilities
Experience with machine learning pipelines in Databricks.
Familiarity with streaming data solutions Kafka Event Hub
Exposure to cloud cost optimization strategies.
6+ years hands-on experience with Azure Databricks and Apache Spark.
Strong knowledge of Delta Lake Lakehouse architecture and data modeling.
Proficiency in Python PySpark SQL for data engineering
Experience with Azure Data Factory Synapse Analytics Event Hub Key Vault and Azure Functions.
Knowledge of Azure security and compliance frameworks.
Expertise in ETL and ELT design performance tuning and distributed computing.
Strong understanding of data governance lineage and metadata management.
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。
