Overview

Talent500 is hiring for one of its clients About Infinite Electronics: Infinite Electronics is a global manufacturer of high-performance connectivity solutions, serving customers across a wide range of industries. With deep engineering expertise and a focus on precision-built components and assemblies, the company partners closely with customers to address complex, real-world challenges and accelerate product innovation.

Responsibilities

• Build, operate, and continuously improve production-grade data pipelines, models, and platforms that power analytics, operational systems, and AI workflows.
• Own the end-to-end lifecycle of production data solutions - from ingestion and transformation through validation, governance, and operational support.
• Contribute to data architecture standards and modeling patterns in close partnership with U.S. engineering, analytics, AI, platform, and security teams.
• Design scalable data models and debug pipeline failures.
• Enforce governance and lineage standards.
• Respond to production incidents.
• Enable AI-ready data products.
• Maintain reliability, compliance, and traceability across the data platform.

Qualifications

• Bachelor's degree in computer science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
• Strong track record designing, building, and operating production-grade batch, streaming, and real-time data pipelines at enterprise scale.
• Demonstrated experience designing and maintaining data models and schemas for analytics, operational systems, and AI or GenAI use cases.
• Experience implementing data governance, lineage, versioning, and quality assurance frameworks across production data pipelines and data products.
• Proven operational ownership of production data pipelines.
• Experience with cloud-native data platforms, ETL/ELT tooling, and both SQL and NoSQL storage technologies.
• Iterative delivery mindset.
• Communicates data architecture decisions clearly across technical and non-technical stakeholders.

Nice to have

• Global collaboration experience
• Prior work in AI engineering team

Education

• Bachelor's degree in computer science, Engineering, Data Science, or a related technical field

Benefits

• Build from the start - be part of the early team shaping foundational systems, standards, and ways of working.
• Global exposure - collaborate directly with international stakeholders on impactful engineering and digital initiatives.
• Modern environment, long-term growth - work from a state-of-the-art office in Baner, Pune.
• Built with intent - center developed for capability, ownership, and long-term excellence.