AIA Coimbatore
Experience : 6 to 9 years
Job Summary
Serve as a senior developer within a global industrial manufacturing environment designing and implementing resilient data solutions using Python and Snowflake technologies. Collaborate with cross functional teams in a hybrid work model to build secure analytic pipelines optimize Snowflake performance and enable data driven decisions that improve operational efficiency and business outcomes across the enterprise.
Responsibilities
- Design and implement robust Snowflake data models that support complex industrial manufacturing analytics and reporting needs while ensuring scalability and performance tuning across all environments.
- Develop schedule and monitor Snowflake tasks that orchestrate critical data workflows to ensure timely and accurate data availability for operations planning and financial stakeholders.
- Configure and maintain Snowflake streams to capture change data from key manufacturing systems enabling near real time insights into production performance and quality metrics.
- Build and optimize Snowpipe based ingestion pipelines that load diverse industrial data sources into Snowflake with high reliability resilience and minimal latency.
- Create efficient and maintainable Snowflake SQL code including views stored procedures and analytic queries that drive standardized metrics and dashboards for plant and enterprise users.
- Develop modular and reusable Python components that integrate with Snowflake Cortex to support advanced analytics predictive modeling and optimization use cases in industrial manufacturing.
- Collaborate with product owners process engineers and data analysts to translate manufacturing requirements into technical designs that align with data architecture standards and governance policies.
- Implement rigorous data quality checks and validation routines in Python and Snowflake to ensure accuracy completeness and consistency of production inventory and maintenance data.
- Optimize query performance and warehouse configurations in Snowflake to balance cost efficiency with fast response times for critical manufacturing and supply chain analytics workloads.
- Document end to end data flows technical designs coding standards and operational runbooks to support maintainability and knowledge sharing across the global development team.
- Provide technical guidance to peers on Python best practices Snowflake features and industrial data patterns while fostering a culture of continuous improvement in data engineering.
- Coordinate with enterprise security and compliance teams to apply proper access controls data masking and audit capabilities within Snowflake environments that handle sensitive manufacturing information.
- Participate in agile ceremonies and sprint planning to estimate effort manage priorities and deliver high quality data solutions on time within a hybrid work model.
Qualifications
- Bring extensive hands on experience in Python development focused on data engineering automation and integration with modern cloud data platforms.
- Demonstrate strong proficiency in Snowflake including Cortex tasks streams Snowpipe and advanced Snowflake SQL features relevant to large scale analytics.
- Apply proven expertise in designing data solutions for industrial manufacturing covering shop floor systems production planning quality management and asset maintenance data.
- Exhibit solid understanding of relational data modeling dimensional modeling and performance optimization techniques tailored to analytic workloads.
- Utilize experience with version control code review practices and automated testing frameworks to ensure reliable and maintainable data pipelines.
- Communicate effectively with technical and non technical partners to clarify requirements propose design options and explain trade offs in simple and practical language.
- Adapt to hybrid work arrangements by using collaboration tools and disciplined work habits to coordinate seamlessly with distributed team members and stakeholders.
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。







