Engineering Data Quality

Andor Tech; Pune District; On-site; INR 600,000 - 900,000; Full time

Job summary

Andor Tech in Pune, India is seeking a data quality specialist to ensure engineering asset information aligns across documentation and asset databases. You will validate P&IDs, data sheets, and diagrams, review records for accuracy, and identify discrepancies between documents and the database.

You will navigate digital twin environments to verify asset connectivity and relationships, raise correction tickets, and communicate findings to drive data-quality resolutions with document control

Qualifications

• Ability to read P&IDs and interpret engineering symbols.
• Experience validating engineering data against official records.
• Attention to detail to ensure data accuracy and compliance.

Responsibilities

• Validate engineering asset information using P&IDs, data sheets, and diagrams.
• Review records for accuracy and compliance; identify discrepancies between documents and database.
• 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.

Skills

P&ID reading

Data quality

Documentation review

Communication

Education

Bachelor's degree in Engineering

Tools

Digital Twin software

Asset database tools

Job description

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
• 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:

• Read and understand P&IDs.
• Interpret engineering symbols and equipment tags.
• Specifications
• Notes
• Process connections
• Instrumentation connections

Engineering Drawing Knowledge

Working knowledge of:

• P&IDs
• Data Sheets
• Signal Line Diagrams
• Electrical Terminal Diagrams
• Single Line Diagrams

Ability to identify and understand:

• Pumps
• Generators
• Valves
• Associated asset relationships and connections

Digital Twin Navigation

Must be comfortable:

• Locating equipment and assets
• Verifying asset connectivity and relationships

Communication Skills

Strong communication skills are mandatory because the role involves: