The Engineering Data Quality team is responsible for maintaining alignment between engineering documentation and asset databases.

Key Responsibilities
• Validate engineering asset information using:
• P&IDs;
• Data Sheets
• Cause & Effect Diagrams
• Single Line Diagrams
• Signal Line Diagrams
• Electrical Terminal Diagrams
• Review engineering records for accuracy and compliance.
• Identify discrepancies between engineering documents and database records.
• Navigate digital twin environments to verify equipment and asset information.
• Raise tickets and coordinate corrections with document control teams.
• Communicate findings and drive resolution of data-quality issues. Work Distribution
• Approximately 80% of the workload involves P&ID; validation.
• Remaining work includes validation of related engineering documentation and engineering data quality activities. Technical Skills Candidates must be able to: Engineering Document Interpretation
• Read and understand P&IDs.;
• Interpret engineering symbols and equipment tags.
• Understand:
• Components




• Specifications
• Notes
• Process connections
• Instrumentation connections Engineering Drawing Knowledge Working knowledge of:
• P&IDs;
• Data Sheets
• Cause & Effect Diagrams
• Signal Line Diagrams
• Electrical Terminal Diagrams
• Single Line Diagrams Asset Understanding Ability to identify and understand:
• Pumps
• Transmitters
• Generators
• Valves
• Instrumentation components
• Associated asset relationships and connections Digital Twin Navigation Must be comfortable:
• Navigating digital twin environments
• Locating equipment and assets
• Understanding equipment functionality
• Verifying asset connectivity and relationships Communication Skills Robust communication skills are mandatory because the role involves:
• Investigating discrepancies
• Coordinating corrections
• Discussing findings with stakeholders
• Supporting resolution activities

📌 Engineering Data Quality (Pune)
🏢 Andor Tech
📍 Pune