Data Specialist

caterpillar

Bangalore 5 years experience Posted 1h ago

Packaging AI Solutions and Continuous Improvement

Serve as the technical expert and lead on implementing changes for Aftermarket Parts Packaging artificial intelligence and digital tools.
Work directly with packaging engineers, IT partners, data owners, and application owners to translate packaging requirements into practical technical solutions.
Contribute to solution design, data preparation, integration, testing, user acceptance, deployment, and production support.
Maintain, configure, update, and continuously improve deployed artificial intelligence solutions.
Implement approved changes to business rules, prompts, workflows, user interfaces, data mappings, reports, and integrations through agile delivery.
Monitor performance, user feedback, recurring issues, data quality, and override patterns to identify improvements.
Maintain documentation, test evidence, version history, and release records.

Application and Solution Development

Design, develop, test, deploy, and support full-stack web applications and cloud-based solutions.
Build application programming interfaces and backend services that use Snowflake and other enterprise data platforms.
Develop applications, utilities, agents, workflows, and decision-support tools for Aftermarket Parts Packaging.
Perform enhancements to existing packaging applications, including the Salesforce-based internal packaging application EPSA.
Use secure development, automated testing, code review, version control, logging, monitoring, and release-management practices.

AI, Data, and Enterprise Integration

Create artificial intelligence-enabled applications, agents, search experiences, and engineering workflows using enterprise technologies.
Translate packaging standards, calculations, business rules, processes, and expert knowledge into tested decision logic and maintainable digital solutions.
Develop data pipelines, analytics, application programming interfaces, and integrations connecting Snowflake, packaging applications, Salesforce-based solutions, and other platforms.
Include appropriate human review, exception handling, auditability, and rollback for higher-risk decisions and integrations.
Follow enterprise requirements for architecture, cybersecurity, data governance, access management, change management, and production releases.

What You Have

Application Development

React.js, TypeScript, Hypertext Markup Language, and Cascading Style Sheets
Python, including FastAPI or a similar framework
Web-based application programming interfaces and full-stack application architecture
Application security, automated testing, logging, monitoring, and production support

Cloud and DevOps

Data and AI

Strong structured query language and cloud data-platform experience
Data modeling, transformation, quality validation, and integration
Large language model applications, retrieval-based artificial intelligence, prompts, agents, and search
Ability to combine business rules, enterprise data, artificial intelligence output, and human review

Enterprise Integration

Application programming interface-based system integration and workflow automation
Experience enhancing and supporting enterprise applications
Experience working within formal security, change, release, and support processes

Preferred Qualifications

Hands-on experience with Snowflake structured query language, Snowpark Python, or Snowflake Cortex.
Experience with Azure OpenAI, LangChain, or LangGraph.
Experience with Salesforce configuration or development, including Apex, Lightning Web Components, or Salesforce application programming interfaces.
Experience with Microsoft Power Platform or Power BI.
Experience supporting and continuously improving enterprise artificial intelligence solutions after launch.
- Knowledge of packaging, supply chain, manufacturing, aftermarket, or engineering processes.