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