Senior Data Engineer - Gen AI / LLM T500-25006

Talent500 is hiring for one of its clientsAbout 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.About Infinite India (GCC):Infinite is establishing its India Global Capability Center (GCC) in Pune to expand its engineering, digital, and customer service capabilities. This center will play an important role in supporting mission-critical initiatives while working in close collaboration with global stakeholders.This is an opportunity to be part of the early team shaping how the center operates influencing technology standards, scalable processes, and collaborative ways of working from the outset. Located at Mont Clare, Baner, the center provides a modern work environment designed to foster collaboration, innovation, and long-term career growth.This is a unique opportunity to grow alongside a center that is being built with long-term capability and excellence in mind.Why Join:Build from the start Be part of the early team shaping foundational systems, standards, and ways of workingGlobal 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, and grow your career within a center designed for sustained capability expansion.Built with intent The India GCC is being developed with a strong focus on capability, ownership, and long-term excellencePosition Name: Senior Data EngineerLocation: Pune, IndiaExempt / Non-Exempt: ExemptPosition Description:The Senior Data Engineer is a hands-on data engineering leader based in Pune, reporting to U.S. engineering leadership and working within a small AI engineering team. This is a delivery-focused role - the primary accountability is building, operating, and continuously improving production-grade data pipelines, models, and platforms that power analytics, operational systems, and AI workflows.This role owns the end-to-end lifecycle of production data solutions - from ingestion and transformation through validation, governance, and operational support while contributing to data architecture standards and modeling patterns in close partnership with U.S. engineering, analytics, AI, platform, and security teams.The right candidate is equally comfortable designing scalable data models and debugging pipeline failures, enforcing governance and lineage standards and responding to production incidents, and enabling AI-ready data products while maintaining reliability, compliance, and traceability across the data platform.Work Location & Schedule Expectations:This role is based in Pune and works in close daily collaboration with U.S.-based engineering leadership and cross-functional teams.Work Model: Hybrid, minimum 3 days per week in the office, coordinated with the team to ensure consistent shared in-person working days.U.S. Collaboration: Daily schedule must include 3 to 4 hours of overlap with U.S. Eastern Time (ET) to support active collaboration with U.S. engineering, product, and platform teams.Operational Availability: As a hands-on engineer accountable for data pipelines and platform services, this role requires availability during critical releases, deployments, and production incidents, which may occasionally fall outside standard working hours including early mornings, evenings, or weekends.Qualifications & Experience:Required Experience: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, with clear ownership of reliability, performance, and operational outcomes.Demonstrated experience designing and maintaining data models and schemas for analytics, operational systems, and AI or GenAI use cases, including schema evolution and controlled change management.Experience implementing data governance, lineage, versioning, and quality assurance frameworks across production data pipelines and data products.Proven operational ownership of production data pipelines, including SLA/SLO definition, monitoring, alerting, incident response, and continuous improvement.Experience with cloud-native data platforms, ETL/ELT tooling, and both SQL and NoSQL storage technologies.Iterative delivery mindset - ships working pipeline components and data products incrementally, incorporating feedback from downstream consumers to refine and improve solutions over time.Communicates data architecture decisions, pipeline tradeoffs, and operational status clearly across technical and non-technical stakeholders in a Tal