A student from various disciplines can Apply. Interested and eligible candidates can read more details below.

Shell Recruitment 2023:

Company Name:- Shell

Job Position:- Sr. Process Data Engineer – SSW

Job Location:- Chennai, India

Salary Package:- As per Company Standards

Reference ID:- R97792

Employment Type:- Full time

Educational Qualifications Required:- 

  • B.Tech/B.E in Geosciences / Petroleum Engineering / Geophysics/ Computer Engineering with specialization in Upstream/Oil & Gas
  • Experience: Freshers/1-2 years of relevant experience in any one of the area – subsurface disciplines, technical data management.
  • Relevant academic & project experience in a similar role/organization
  • Knowledge / Skills in managing data types such as Wells, Logs, Seismic
  • Ability to connect and verify the consistency and correctness of the data across multiple data sources
  • Digital skills like Python, Linux, SQL and PowerBi not required but will be an advantage 
  • Strong aptitude for Learner Mindset

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Behavioural Competences:

  • Learner Mindset
  • Flexibility to move quickly across changing priorities and manage multiple Projects/Programmes
  • Ability to independently, resourcefully, and creatively research and implement new solutions
  • A good understanding of the oil and gas business and how it works.
  • Ability to engage and effectively communicate at all levels
  • Strong interpersonal skills, ability to challenge and ability to build internal and external relationships based on trust and to integrate across multiple functions.
  • Continuous Improvement

Purpose & Accountabilities:-

  • Operational support:  loading/managing subsurface data (well data, well logs and well documents; core data; to and within corporate and project databases
  • Responding to the Subsurface & Wells data team / end-user requests e.g. resolving data quality issues through proactive daily monitoring of IQM queries, reactive identification of data issues or provision of data sets to the government.
  • Participation in the elements of Data Projects where execution can be performed in a back office / centre of excellence– e.g. data migration to align with new / global standards.
  • Driving data quality improvement through interaction with local data analysts / consultants
  • Highlight and resolve challenges / issues identified during the data intake and loading phase

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