Job Title - Python-Snowflake Data engineer
Remote
** No Visa sponsorship/ Transfer/ c2c available for this role**
Job Summary
This role is for a senior developer with six to ten years of experience who designs and develops data solutions using Python and Snowflake platforms in a hybrid work model. The role focuses on building scalable data pipelines and robust Snowflake SQL tasks to support complex analytics for enterprise clients, with added value if the individual has experience in property and casualty insurance data.
Responsibilities
- -Design and implement scalable data processing solutions using Python that transform raw data into reliable assets for analytics and reporting -Develop and optimize complex Snowflake SQL queries and tasks that support enterprise data warehousing and operational reporting needs -Build resilient batch and near real time data pipelines that move data efficiently across systems while maintaining accuracy and consistency -Create reusable Python modules and frameworks that standardize data ingestion transformation and validation patterns across multiple projects -Optimize Snowflake workloads by tuning queries managing clustering strategies and improving resource usage to deliver predictable performance -Implement robust monitoring and alerting for Snowflake tasks and Python jobs to detect issues early and reduce downtime for data consumers -Collaborate with data architects analysts and product partners to translate business requirements into technical designs and implementation plans -Document data models data flows and pipeline logic clearly so that teams can maintain troubleshoot and extend solutions with confidence -Apply secure coding practices and data protection standards to ensure that sensitive data is handled responsibly across all solutions -Contribute to continuous improvement of development standards code review practices and automation approaches within the engineering team -Work closely with stakeholders to prioritize enhancements resolve defects and deliver incremental value through well planned releases -Analyze production incidents identify root causes and implement preventive improvements that strengthen the stability of data platforms -Leverage domain understanding in property and casualty insurance when available to design data solutions that reflect practical underwriting claims and policy use cases .
Salary and Other Compensation:
The annual salary for this position is between $100-109K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· 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
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
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。
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