Summary: This role involves building and maintaining scalable data pipelines, defining data quality rules, managing master data models, and preparing AI-ready datasets. Highlights: 1. Build and maintain scalable data pipelines 2. Define and enforce data quality rules 3. Design and manage master data models willing to join immediately Build and maintain scalable data pipelines across enterprise systems (PMS, ERP, Finance, HR, etc.) · Define and enforce data quality rules (accuracy, completeness, consistency) · Design and manage master data models and governance workflows · Prepare clean, AI\-ready datasets for analytics and automation · Support data governance and ISO 8000 readiness initiatives What We’re Looking For · 4–7 years experience in Data Engineering, Data Quality, or Data Governance · Strong SQL and data integration experience · Hands\-on exposure to data quality frameworks and MDM concepts · Experience with ETL/ELT pipelines and APIs · ISO 8000, CDMP, or Data Quality certifications are a strong plus Job Type: Full\-time