Job Summary
Sr Developer role in a hybrid work model focusing on end to end data engineering solutions using Amazon S3 Python and Snowflake SQL for a global enterprise. The role designs optimizes and maintains robust data pipelines and platforms that enable secure scalable and reliable analytics capabilities for business stakeholders while ensuring best practices and continuous improvement in a day shift environment.
Responsibilities
Design and implement scalable data ingestion pipelines using Amazon S3 to reliably collect organize and store large volumes of structured and semi structured data for enterprise analytics needs.Develop robust Python applications and scripts that automate data processing workflows improve system efficiency and reduce manual effort for business and technology teams.Build optimize and maintain Snowflake SQL data models including views tables and stored procedures to support high performance reporting and advanced analytical use cases.Collaborate with product owners business analysts and data consumers to translate complex functional requirements into clear technical designs and implementation plans that align with organizational objectives.Perform detailed performance tuning for Python code Snowflake SQL queries and Amazon S3 data access patterns to consistently achieve low latency and high throughput across critical workloads.Implement and maintain rigorous data quality checks reconciliation routines and validation frameworks to ensure that all data assets stored in Amazon S3 and Snowflake remain accurate complete and trustworthy.Apply secure coding and data protection practices in Python Snowflake SQL and Amazon S3 configurations to safeguard sensitive information and support compliance with internal policies and external regulations.Troubleshoot complex production issues across data pipelines storage layers and processing jobs using systematic root cause analysis and implement durable fixes that prevent recurrence and downtime.Document solution architectures data flows coding standards and operational procedures in a clear structured manner so that teams can easily maintain extend and reuse the implemented assets.Coordinate with infrastructure and platform teams to optimize resource usage schedule jobs appropriately and ensure that hybrid work arrangements support smooth collaboration and timely delivery of enhancements.Mentor junior developers in best practices for Amazon S3 Python and Snowflake SQL guiding code reviews encouraging clean design patterns and promoting continuous technical growth within the team.Contribute to continuous improvement by evaluating emerging features in Amazon S3 Python libraries and Snowflake capabilities and proposing pragmatic enhancements that increase reliability and business value.Support business stakeholders by providing accurate effort estimates transparent progress updates and data driven insights that help them make informed decisions and achieve measurable outcomes.
Qualifications
Demonstrate advanced proficiency in Amazon S3 including bucket configuration lifecycle management data organization and secure access integration with data processing tools.Show strong hands on experience in Python programming for data engineering including writing modular code handling errors effectively and using relevant libraries for data manipulation and automation.Exhibit deep practical knowledge of Snowflake SQL including query optimization schema design time travel features and role based access to deliver performant and secure data solutions.Bring proven experience of seven to nine years in designing building and maintaining end to end data pipelines for enterprise scale environments preferably in a hybrid work setup.Possess solid understanding of data warehousing concepts ETL principles and analytics reporting needs so that implemented solutions directly support business decision making.Apply effective communication and collaboration skills to work smoothly with cross functional partners in a day shift ensuring timely alignment and clear expectation management.
Certifications Required
good to have
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。
