Process Data Engineer - FE



Job Description:


The primarily focus of job role is on DATA Accuracy & DATA integrity by Data mining and cleansing activities in CMMS, maintaining the accuracy of the Asset Register is an ongoing activity throughout the life of the asset.
Gap Analysis - Includes data scrapping of equipment tags from drawing/diagrams/legacy equipment history (e.g., PFD, P&ID, SLD, etc.), and comparing with GSAP data for gap analysis.
CMMS Data Build-up- Creating/updating asset hierarchy structures in CMMS (e.g. SAP, Maximo, etc.) to close the gap between equipment mentioned in PEFS, SLD and other site drawings with respect to CMMS database.
Standardization - Performing gap analysis to identify discrepancies with respect to minimum Data Quality Standard (DQS) and propose the rectification for the same in systematic and time bound fashion.
Maintenance, assurance, technical support and standardization of technical data and documents of the manufacturing sites, chemical plants, supply chain and distribution locations. With support roles on site engagement & technical & tools forums.
Analyze data, documents and processes for both Upstream and Downstream businesses by working with engineering, maintenance, operations and project team & partners.
Support projects and activities performed at the manufacturing sites, chemical plants, supply chain and distribution locations.
May be assigned as primary engineering analyst for smaller sites, plants and locations.
Assurance that managed technical data and documents of assigned manufacturing site, chemical plant, supply chain and distribution location are free of data defects, in accordance to Controls and Standards and within the limits of KPI’s.
Manage the assigned Site Quality Improvement Projects (local QIPs) which may include data cleanse, data mining, benchmarking, reporting projects and track evidence per the local QIP on Site Reference Documents and Assurance Tracker.
Assist the Senior Process Data Engineer Engineering Analyst II to develop, maintain and manage the Site Reference Document.
Communicate with the site or locations, to know who are their contacts in Technical Asset Operations.
Confirm who are the site or location stakeholders and their responsibilities.
Understand their interoperabilities, ERPs and processes migrated to the SBO, and their local QIP.
Regularly report progress of work to site or location direct contacts as Requestors and Approvers.
Assist the Senior Process Data Engineer Engineering Analyst II in responding to inquiries related to the data and its functionality or use in a technical support function; including training site staff in ERPs or use of Request Tools, running pilot tests and demonstrations, increasing awareness of ERP functionality (e.g. using Measurement Points more effectively.)
This Technical Support function includes supporting managers and other staff on migration efforts.
Accurate use and maintenance of Web Request Tool, Assurance Tracker, Einstein, Site Reference Document and other related operating tools.
Other back up accountabilities, as follows: Recommend and run site or technical assets improvement projects (CI, SI or OI) through awareness of Group Engineering Methods and processes. Understand how information and data is utilized within the site or location through awareness to extract and apply the methods of these tools to Data Quality (methods and processes are listed in the Skills Section).
Engagement with the Site stakeholders such as Requestors and Approvers to communicate plans, obtain feedback, and solicit improvements. Assist the managers to standardize processes, tools, methods, procedures as directed (Ex: Improving the data quality standards and best practices).
Network with counterparts and other levels of organization across the different data centers.

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Education/Experience: University Degree in Mechanical, Instrumentation, Electronics & Communication, Electrical, Industrial or Chemical Engineering or the like.
Required 3 to 4+ yrs. past degree in engineering / technical jobs from one or more of the following: Experience in Plant Maintenance area within a Manufacturing environment as an engineering user of Computerized Maintenance Management Systems (CMMS), Computerized Inspection Management Systems (CIMS), and Engineering Document Management Systems (EDMS.)
Experience in Engineering relevant, maintenance or failure analysis: Equipment failure analysis, troubleshooting, decision making, Reliability Centered Maintenance, Root Cause Analysis, Safety, Criticality and Risk Assessment, Ishikawa Diagrams, Failure Mode and Effects Analysis, Fault Tree Analysis, Total Quality Management, Hazard Analysis, etc.
Experience in Engineering Projects
Experience in Technical Data and Documents management including processes and tools.
Effective communication skill and stakeholder management is a necessary skill for the job.
Lean Six Sigma CI methodology, strong communication skills (oral and written) and work experience in Oil and Gas is an added value.
Developed engagement and communication skills.
Knowledge or higher-level awareness of the context of use of technical data and documentation within technical data processes, Shell’s physical processing assets (hardware) and associated operating processes (Cat Crackers, drilling ops, production and lube oil facilities).
Ability to deal effectively with complexity and detail.
Ability to prioritize and ensure delivery of priorities for the area of responsibility.
Flexible and adaptable to change, with track record of demonstrating initiative, analytical capabilities and problem solving.
Strong background and experience in SAP PM Module / CMMS systems
Experience of working remotely and virtually with international teams.
Ability to work with detailed technical documentation and processes.
Excellent communication skills written and verbal in English
Understanding of maintenance and maintenance execution.
Familiar with electronic data management systems e.g. SharePoint / EDMS
Spotfire experience / Power BI / Celonis/ Python / Alteyrix
Company
Shell
Posted
06/19/2022
Location
Chennai, TN, IN