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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.

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

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, state or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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