13 hours ago
Pune, IndiaSenior
Responsibilities
- Gather business and technical requirements and design fit-for-purpose integrated solutions aligned with enterprise standards.
- Develop, configure, test, maintain, and support enterprise applications, systems, integrations, and technical solutions.
- Build full-stack web applications, secure REST APIs, self-service interfaces, and React dashboards for data quality processes.
- Design and implement data migration, profiling, validation, cleansing, anomaly detection, monitoring, and data quality automation solutions.
- Integrate applications with Azure services, Snowflake, Dataverse, APIs, and enterprise data platforms.
- Integrate OpenAI/LLM APIs and develop AI-enabled capabilities for rule generation, profiling insights, anomaly detection, root cause analysis, and cleansing recommendations.
- Create and maintain technical design documents, workflows, architecture diagrams, configuration documentation, and solution recommendations.
- Translate business requirements into scalable solutions and own development from design through deployment and production support.
- Collaborate with stakeholders, vendors, IT service providers, data engineers, architects, governance teams, cloud teams, and business partners.
- Participate in test strategy execution, formal design reviews, cybersecurity reviews, code reviews, and issue resolution.
- Identify technical dependencies and risks and ensure solutions meet quality, schedule, cost, privacy, security, performance, and scalability expectations.
- Serve as a subject matter expert and point of contact for assigned applications, processes, procedures, and functionality.
Requirements
- A college or university degree in Computer Science, Information Technology, Business, or a related subject, or relevant equivalent experience.
- 3–5 years of relevant work experience is required.
- Experience developing enterprise web applications with React.js, Node.js, JavaScript/TypeScript, and Python using Flask or FastAPI.
- Experience building secure REST APIs and self-service interfaces for data quality profiling, rule management, monitoring, and cleansing.
- Experience with Azure Web Apps, Azure SQL, ADLS/Storage, Databricks, Key Vault, and Application Insights.
- Experience integrating with Snowflake, Dataverse, APIs, and enterprise data platforms.
- Experience with Python, PySpark, SQL, data profiling, validation, cleansing, anomaly detection, monitoring, and data quality automation.
- Experience integrating OpenAI/LLM APIs or building AI-enabled applications.
- Preferred: 4–8 years of relevant full-stack or data engineering experience.
- Preferred: at least 4 years of hands-on React.js development and at least 4 years of Node.js/API development.
- Preferred: strong experience with Azure, Databricks, SQL, PySpark, enterprise data platforms, React dashboards, GitHub, Azure DevOps, and CI/CD.
- Strong solution engineering skills and the ability to design, develop, integrate, and demonstrate end-to-end solutions.
- Ability to apply security, privacy, compliance, programming, data, modern development, and solution design principles.
- May require licensing for compliance with export controls or sanctions regulations.
Tech Stack
Categories
Solutions Engineering
About Cummins
Cummins Inc. designs and manufactures diesel, natural gas, and electrified powertrains, generators, and related components (turbochargers, filtration, emission systems) for commercial vehicles, industrial equipment, marine, rail, and power markets. It sells to OEMs and fleet operators and provides parts and service through a global distribution network. Founded in 1919 and headquartered in Columbus, Indiana, Cummins is a public company listed on the NYSE (CMI).