Snowflake

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.

À propos de Cognizant 
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant. 

Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.

Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français. 

Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.

Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.