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Tier-1 brand and metro location but niche oil-and-gas skills reduce applicant density.
Strong oil-and-gas and process-engineering requirements limit cross-industry transferability.
Mandatory oil-and-gas experience, specific tools (HYSYS, SQL/Python) and explicit 2+ years increase filter strictness.
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Ensure accuracy, consistency, and relevance of engineering and sensor-based datasets including time-series data and simulation outputs.
Identify, analyze, and resolve data quality issues such as mapping errors, lineage breaks, and incorrect source data in collaboration with engineering teams.
Document data structures and support improvement of data flows for engineering calculations, simulations, and analytics, while assisting in resolving user issues from engineering changes.
Bachelor's degree in Process Engineering or equivalent oil & gas industry experience.
Minimum 2 years of experience working in Oil & Gas sector.
Proficiency with SQL, Python, or Excel-based engineering/data models and experience with at least one of: HYSYS modelling or CAD tools for P&ID or PFD creation.
Understanding of time-series sensor data, simulations, and calculations with ability to investigate and resolve data quality and transformation issues.
Experience working closely with process and data engineers to translate technical queries into actionable data insights.
Strong analytical and problem-solving skills focused on data accuracy, traceability, and process improvement within production and operations environments.
Familiarity with data lineage, engineering relationship data structures, and troubleshooting data flow or pipeline issues resulting from engineering or user changes.