Data Engineer

Responsible to support the AI-powered data analytics platform. This individual will contribute to advance data engineering pipelines, AI agent development, and cross-functional quality analytics across different areas of the business such as quality, product engineering, reliability, field service and business strategy. Production LLM Expertise (Claude‑Based) • Production‑grade experience using Claude LLMs within orchestrated agent workflows, including prompt management, tool calling, structured outputs, guardrails, and audit‑ready logging. AI‑Driven Quality & Failure Data Extraction • Experience developing orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies. Manufacturing Data Platforms & Engineering • Advanced proficiency with Databricks, Spark, SQL, Delta Lake, and Python to ingest, structure, and analyze large‑scale manufacturing, quality, and post‑market data, supporting downstream analytics and AI systems. Quality, CAPA & Root Cause Analytics • Demonstrated ability to correlate complaints, NCRs, CAPAs, and service data with upstream manufacturing signals using data‑driven root cause and investigation approaches. Enterprise & Regulated Systems (SAP‑Centric) • Hands‑on experience integrating and analyzing data from SAP Tahiti, Salesforce, TrackWise, and QMS platforms while maintaining traceability, data integrity, and compliance in regulated environments. Education: Master's Data engineer or Computer science