Job Title: Azure Data Engineer (Snowflake + Apache Airflow)
Experience: 4-8 Years
Location: PAN India / Hybrid
Job Description
We are looking for an experienced Azure Data Engineer with strong expertise in Snowflake and Apache Airflow to build, optimize, and manage large-scale cloud data platforms. The ideal candidate should have hands-on experience in designing modern data pipelines, data warehousing solutions, and workflow orchestration in a cloud environment.
Key Responsibilities
- Design and develop scalable data pipelines using Azure Data Services, Snowflake, and Apache Airflow.
- Build and maintain ETL/ELT workflows for structured and unstructured data.
- Develop and optimize Snowflake data warehouse objects including databases, schemas, tables, views, and stored procedures.
- Create and manage Airflow DAGs for workflow orchestration and scheduling.
- Implement data ingestion frameworks from multiple sources including APIs, databases, and files.
- Optimize query performance, warehouse sizing, and storage costs within Snowflake.
- Ensure data quality, governance, security, and compliance standards.
- Collaborate with business stakeholders, data analysts, and engineering teams to deliver data solutions.
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。
