- Develop and implement scalable data solutions using Snowflake and Python to meet business requirements.
- Collaborate with cross-functional teams to gather and analyze data requirements for optimized solutions.
- Design and maintain Snowflake tasks streams and pipelines to ensure efficient data processing and integration.
- Optimize Snowflake SQL queries for performance and reliability in large-scale data environments.
- Implement and manage Snowpipe for real-time data ingestion and processing workflows.
- Provide technical expertise in Python scripting for data manipulation and automation tasks.
- Monitor and troubleshoot Snowflake environments to ensure system stability and performance.
- Document technical processes and workflows to maintain clarity and consistency across projects.
- Ensure adherence to best practices in data security governance and compliance standards.
- Conduct code reviews and provide constructive feedback to maintain high-quality deliverables.
- Collaborate with stakeholders to identify opportunities for improving data solutions and workflows.
- Stay updated with the latest advancements in Snowflake and Python technologies to enhance project outcomes.
- Contribute to the company’s mission by delivering impactful data solutions that drive informed decision-making.
- Possess strong expertise in Snowflake SQL Snowflake Streams Snowflake Tasks and Snowpipe for data processing and integration.
- Demonstrate proficiency in Python programming for data manipulation automation and workflow optimization.
- Have a solid understanding of data architecture principles and best practices for scalable solutions.
- Exhibit excellent problem-solving skills to address technical challenges effectively.
- Show experience in hybrid work environments collaborating with teams both remotely and on-site.
- Display strong communication skills to articulate technical concepts to non-technical stakeholders.
- Hold a minimum of 8 years of relevant experience in data engineering or software development with a maximum of 12 years.
- Demonstrate familiarity with data security and governance standards to ensure compliance.
- Showcase ability to work independently while contributing to team objectives.
- Have a track record of delivering high-quality solutions within deadlines.
- Exhibit adaptability to learn and implement new technologies as required.
- Possess a proactive approach to identifying and resolving issues in data workflows.
- Show commitment to driving impactful results that align with the companys goals.
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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。







