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 settings
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 (India)
🏢 Andor Tech
📍 India