Skill: Snowflake DBT
Experience: 6 to 9 years
Location: AIA Chennai
Job Summary
Serve as a Snowflake Data modeler specializing in Snowflake streams Snowflake SQL and Snowpipe to design build and optimize cloud based data solutions that enable high quality analytics and reporting for global stakeholders. Collaborate in a hybrid work environment to deliver secure scalable and reliable data pipelines that support critical business decision making and societal impact through data driven insights.
Responsibilities
- Design detailed Snowflake based data models that support reliable analytics and reporting while aligning to enterprise data standards and performance expectations.
- Develop robust Snowflake SQL code that transforms raw data into curated datasets with clear structure strong data quality and efficient query performance.
- Build and configure Snowflake streams to capture incremental data changes accurately and ensure near real time data availability for downstream consumers.
- Implement and optimize Snowpipe to automate secure data ingestion from diverse sources minimizing latency and manual intervention in data loading.
- Optimize query performance by tuning Snowflake SQL clustering strategies and warehouse configurations to reduce cost and improve response times for complex workloads.
- Collaborate with data engineers analysts and product teams in a hybrid work model to translate functional requirements into scalable Snowflake based technical solutions.
- Ensure adherence to data governance security and compliance standards by applying access controls masking policies and reliable audit mechanisms within Snowflake environments.
- Troubleshoot production issues in Snowflake streams Snowpipe and SQL workloads by performing root cause analysis and implementing preventive improvements.
- Document solution designs data flow diagrams and operational runbooks clearly so that teams can maintain extend and reuse Snowflake components effectively.
- Contribute to continuous improvement by evaluating new Snowflake features suggesting enhancements to data pipelines and sharing best practices with peers.
- Support test planning and execution by creating relevant test scenarios validating data accuracy and ensuring that performance and reliability targets are met.
- Collaborate with business stakeholders to understand analytical needs and provide Snowflake driven solutions that improve decision making and create positive impact on customers and communities.
- Mentor junior team members on Snowflake development practices by providing constructive feedback on code design choices and problem solving approaches.
Qualifications
- Bring between five and nine years of professional experience in data engineering or development roles with substantial focus on cloud data platforms and analytics delivery.
- Demonstrate strong hands on proficiency in Snowflake SQL including complex joins window functions stored procedures and query optimization techniques.
- Show proven experience designing and managing Snowflake streams to handle change data capture scenarios and maintain consistent reliable incremental data processing.
- Exhibit practical expertise implementing Snowpipe for automated data ingestion from file based and streaming sources while ensuring robust error handling and monitoring.
- Apply solid understanding of data warehousing concepts such as dimensional modeling partitioning strategies and slowly changing dimensions within Snowflake.
- Use experience in working within hybrid teams to collaborate effectively across onsite and remote colleagues while maintaining clear communication and shared ownership of outcomes.
- Display strong problem solving and debugging skills to analyze data inconsistencies performance bottlenecks and integration issues across multiple Snowflake environments.
- Communicate technical concepts clearly to both technical and non technical partners enabling informed decisions about data solutions priorities and trade offs.
Certifications Required
SnowPro Core Certification or equivalent Snowflake focused cloud data certification is preferred for this senior developer role.
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。







