Job Summary
Serve as a senior developer specializing in Azure data platforms and Snowflake to design build and optimize scalable data solutions in a hybrid work environment. Apply deep expertise in Azure Data Lake Store Azure Data Factory Python and Snowflake features to deliver secure high quality data products that empower analytics and strategic decision making for global stakeholders.
Responsibilities
Design robust batch and near real time data ingestion pipelines using Azure Data Factory to integrate diverse enterprise data sources into Azure Data Lake Store and Snowflake in a secure and scalable manner.Develop efficient data models and curated layers in Snowflake using advanced Snowflake SQL features to support analytics ready structures and trusted business reporting across multiple domains.Implement modular reusable Python components and utilities that automate data transformations validations and orchestration logic to reduce manual effort and improve overall pipeline reliability.Optimize performance of Azure Data Lake Store and Snowflake workloads through tuning of queries storage patterns and resource configurations to meet strict service level objectives for critical data processes.Configure and manage Snowflake Tasks and related scheduling capabilities to orchestrate complex dependency chains and ensure timely execution of data refresh cycles for downstream consumers.Apply Snowflake Cortex capabilities and other advanced data services to deliver intelligent data products that unlock deeper insights and accelerate data driven decision making for business teams.Create comprehensive technical design documents and maintain up to date data flow diagrams to provide clear traceability from source systems through Azure and Snowflake layers to final consumable outputs.Collaborate closely with data architects business analysts and product teams to translate analytical requirements into detailed technical solutions that align with enterprise data standards.Implement robust monitoring alerting and logging across Azure Data Factory pipelines Python jobs and Snowflake processes to enable proactive issue detection and faster incident resolution.Ensure strong data governance practices by applying data quality rules security controls and access policies across Azure Data Lake Store and Snowflake environments in line with organizational guidelines.Conduct code reviews and share best practices on Python development Snowflake query design and Azure data engineering patterns to raise overall engineering quality across the team.Support user acceptance testing and production rollout activities by analyzing defects resolving data issues and refining solution behavior based on stakeholder feedback.Continuously evaluate new Azure and Snowflake capabilities and propose practical improvements that enhance scalability resilience and usability of the data ecosystem for future initiatives.
Qualifications
Demonstrate substantial hands on experience in designing and delivering enterprise data solutions using Azure Data Lake Store as the central storage layer for large scale datasets.Exhibit strong expertise with Azure Data Factory including data flows mapping configurations and integration runtimes to orchestrate complex ingestion and transformation pipelines.Show advanced Python programming proficiency for data engineering including data processing frameworks automation scripts and integration with Azure and Snowflake services.Provide proven experience working with Snowflake SQL Snowflake Tasks and related platform components to build performant data models and automated processing chains.Display practical exposure to Snowflake Cortex or similar advanced analytics features enabling intelligent transformations feature engineering and augmented insights within the data platform.Possess solid understanding of data warehousing principles data modeling concepts and performance optimization techniques relevant to both Azure and Snowflake environments.Utilize effective communication and collaboration skills to work with cross functional stakeholders in a hybrid work model ensuring clarity of requirements and timely delivery of data solutions.
Certifications Required
Preferred certifications include Microsoft Certified Azure Data Engineer Associate and Snowflake SnowPro Core or advanced specialty certification.
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。
