Shell Technology Job 2022 – Chemical Engineering Engineer
Shell Technology hiring Senior Process Data Engineer. Chemistry and chemical engineering job opening. Chemistry job. Senior Process Data Engineer post vacancy. Candidates with master’s in chemistry and chemical engineering may apply for the job at Shell Technology. Check out all the details.
Job Title: Senior Process Data Engineer
Location: Chennai
Reference ID R87598
Eligbility Criteria & Experience:
- University Degree in Chemical or other oil and gas related degree.
- 5 yrs+ of work experience in Oil & Gas/ Petrochemicals industry past degree in engineering with experience in one or more of the following:
- Hands-on Experience and good understanding of Refinery/Petrochemical plant operations from a process engineering perspective.
- Has exposure to Hydrocarbon Mass Balance reconciliation and Plant modelling and Real Time Optimization.
- Familiar with the different plant equipment such as pumps, vessels, compressors, instrumentation, etc. Has a basic understanding of plant maintenance and operations.
- Effective communication skills and stakeholder management is a necessary skill for the job.
- Basic understanding of Field Instrumentation – flow meters, temperature and pressure measuring devices, control valves, etc.
- Hands-on Experience in a mass balancing module tool, Process Pi, DataRec/Romeo Platform.
- Knowledge of CI methodology is an added value. Able to multi-task, prioritize and ensure delivery of priorities as promised, work without close supervision, and work through others to deliver results.
- Virtual working experience would be added advantage.
- Detailed grasp of the context of use of technical data and documentation within technical data processes
- 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 a track record of demonstrating initiative, analytical capabilities, and problem-solving.
- Self-starter and an independent worker capable of collaborating in a team environment with an ability to build strong, effective relationships with asset production teams while working remotely
Key Accountabilities:
- Performs daily execution of the integrated unit balances on the DataRec/ROMEO platform and subsequent upload of reconciled data to the PI historian
- Collaborates with Operations Support Process Engineers (OSEs)/Unit Technologists, E&S personnel, Process Control System Engineers and Instrument Engineers, and corporate SMEs to maintain the model and keep balances within tolerances.
- Updates the Process Flow Diagrams for DataRec/ROMEO model.
- Leads or assists in evaluation of complex technical issues or opportunities dealing with unit flows, often with multiple disciplines engaged. Assists as appropriate in problem definition and ensuring solutions that arise in site mass balance. Communicates with the appropriate personnel from front lines up to site leadership the status of mass balance problems and issues.
- Works with Process Engineering and corporate SMEs to reconcile mass balance and stream property gaps between Non-Linear Process Models and plant. This also includes running of the DataRec model to support process unit test runs and model tuning
- Translates legacy mass balance data and tools from Process Engineering and others to the Data Rec tool and incorporates legacy knowledge into site mass balance work process
- Works with E&S to perform margin forecasting (Linear Programming model) vs actual yield and track stream properties versus predicted. Ensure stream routings are aligned between plant and model balances
Works with unit CSEs to address and correct unit flow meter issues
Works with the Hydrocarbon Mass Balance (HMB) personnel to provide data and understand site mass balance discrepancies
Supports reporting of GHG emissions performance. Ensures consistency of data in AMDP application. - Understanding of basic CO2 emission calculations in refinery and petrochemicals.
- Provide support to the asset’s Hydrocarbon Mass Balance process as a value Engine
- The Basic Data Engineer provides assurance for the site’s units’ mass balance and providing input and consulting for the site’s fence line hydrocarbon mass balance
Business knowledge and operational skills on activities at the manufacturing site, chemical plant, supply chain and distribution location. Includes specific methods, software and hardware. - Confidence to work in virtual environment and managing engagement across different levels of stakeholders, including senior management for day to day operations. Includes initiative to identify and help resolve business and technical issues within areas of responsibility.
- Continuously represent the Team in different Global Forums. Keeping the technology and knowledge updated as per Global Industry changes and adaption.
- Sound understanding of business/process workflow and having mature mindset to deal and behave under tough/challenging situations.
- Strong proficiency in using English for both spoken and written communication, as well as using Skype for Business, Instant Messaging, Video Conferencing, Outlook, etc.
- Shift work following operating hours of the operating units, manufacturing site, chemical plant, supply chain and distribution location.
- A self-starter leader and reliable deliverer, with very good verbal and written skills in English, able to negotiate with people, and able to resist undue influence that might otherwise compromise integrity of data quality.
Job Purpose:
Basic Data Engineer is a position in the Technology Department reporting to the Manager Operational Excellence providing assurance for the site’s units’ mass balances and providing input to the site’s margin forecasting. The Basic Data Engineer will be responsible for Pernis refinery (Energy&Chemicals Park Rotterdamand collaborate with the Mass Balance Technologist on site.
The primary role of Basic Data Engineer will be for assurance of site Basic Data as outlined in the DSM Basic Data RP to improve and then sustain the quality of plant data for application in engineering, planning, scheduling, and accounting tools.
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