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.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.










