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Snowflake

00069514641


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。

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