Job Summary
This hybrid role is for a developer with three to five years of experience who specializes in Python and Snowflake SQL within a multinational environment. The role focuses on building reliable data solutions that improve business decision making and operational efficiency. The developer will collaborate across teams follow best engineering practices and support sustainable growth through high quality code and analytics.
Responsibilities
Design and implement scalable data processing solutions using Python to support analytics and reporting needs across multiple business domainsDevelop optimized Snowflake SQL scripts to load transform and query large data sets in a reliable and efficient mannerBuild reusable Python modules and utilities that streamline data integration validation and transformation activities for project teamsCreate and maintain robust data pipelines that move data from diverse source systems into Snowflake in a timely and accurate fashionImplement detailed data quality checks using Python and Snowflake SQL to ensure that insights delivered to stakeholders remain trustworthy and actionableCollaborate with data engineers analysts and product teams to translate business requirements into clear technical designs and implementation plansOptimize Snowflake queries and table structures to reduce compute costs while maintaining strong performance for critical business workloadsDocument technical solutions data models and job schedules in a clear and organized way so that other team members can easily maintain and extend the workAssist in monitoring scheduled data jobs identify failures or performance issues and apply corrective actions to minimize impact on downstream usersContribute to code reviews and follow secure coding practices to ensure that Python and SQL solutions are maintainable and compliant with organizational standardsSupport analytics and reporting teams by providing curated data sets and helping them troubleshoot data issues using Python based toolingParticipate in hybrid work model ceremonies through virtual and in person collaboration to align on sprint goals priorities and delivery timelinesContinuously enhance technical skills in Python Snowflake SQL and modern data tools to bring innovative solutions that improve company productivity and societal outcomes
Qualifications
Maintain solid hands on experience in Python including strong proficiency with data manipulation libraries and scripting for automationDemonstrate proven experience of at least three years in writing complex Snowflake SQL queries and managing Snowflake based data workflowsApply practical knowledge of data warehousing concepts such as star schemas slowly changing dimensions and partitioning using Python and SnowflakeExhibit familiarity with version control tools and collaborative development practices to manage code changes safely across hybrid teamsUtilize exposure to cloud platforms and related services that integrate with Snowflake to enhance data solution design and deploymentShow strong problem solving and communication skills to work effectively with diverse stakeholders while delivering reliable and ethical data solutions
Certifications Required
Preferred certifications include SnowPro Core Certification or equivalent cloud data engineering certification focusing on Snowflake and Python.
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。
