EPC-Multi Discipline Engineer - Master project Data

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Definition This role is responsible for maintaining, validating, developing and delivering project master data used for engineering, procurement, manufacturing, construction, and project controls activities Responsibilities Ensure accuracy, completeness, and consistency of equipment, piping, structural, electrical, and instrumentation data. Consolidate data from multiple engineering disciplines into a single project-controlled Masterlist. Generate and verify Material Take-Offs (MTOs) from 3D models, drawings, and engineering databases. Maintain revision-controlled Masterlists throughout the project life cycle. Track quantity changes arising from revisions and change requests. Review engineering drawings, datasheets, line lists, valve lists, equipment lists, BOMs, and MTOs to populate project Masterlists. Coordinate with multidisciplinary engineering teams to resolve data inconsistencies and technical queries. Provide progress reports and metrics on Masterlist completion and quality. Validate engineering inputs against project specifications, standards, and design documents. Conduct data quality checks to ensure error-free deliverables. undefined undefined undefined Knowledge of engineering and data management tools such as Excel, Power BI, Plant 3D, Navisworks, PLM systems, and project databases. Support development and implementation of automation tools Knowledge of piping systems with relevant specifications, codes, and standards such as ASME B 31.3 AND B 31.8. Degree Requirement Degree required – Diploma in Mechanical Engineering MTech/BE/B.Tech/ in Mechanical Engineering from accredited Engineering Institute with 10-12 years of Oil and Gas/ Power Plant Experience.

Descriptors Data Gathering & Analysis: Knowledge of data gathering and analysis tools, techniques, and processes; ability to collect and synthesize data from a variety of stakeholders and sources in an objective manner to reach a conclusion, goal, or judgment. Level Basic Understanding:  •  Strong knowledge of document control •  Excellent organizational and time management skills •  High attention to detail and accuracy •  Strong communication and interpersonal skills •  Ability to maintain confidentiality and handle sensitive information. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Basic Understanding:  •  Names specific tools or techniques that can be used to support the analytical thinking process. •  Describes specific software applications or products used for business analytics. •  Gives examples of how analytical thinking has been used to resolve problems. •  Helps others research and learn more about business analytics tools and applications. Decision Making and Critical Thinking: Knowledge of the decision-making process; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Basic Understanding:  •  Explains characteristics and steps in an effective decision-making process. •  Identifies issues and communicates with others when a decision needs to be made. •  Names decision makers in own environment and cites examples of past decisions. •  Describes types of decisions incumbent may and may not make in own job or