EDS Coordinator II

Role & responsibilities

As an EDS Coordinator with Worley,

The Asset Information Management Administrator is responsible for project setup, maintenance, and support of the system. The successful applicant will require significant SQL skills as well as the ability to work as part of a team to deliver integrated solutions. He or she will work within all aspects of data integration complex systems that include design and engineering systems, data management as well as extraction and validation of legacy data.

Being part of the AIM team will provide the successful applicant with a network of support, but it is also a clear requirement of this role to be able to work independently. This role offers a significant opportunity to be part of cutting-edge technologies and to work on some of the largest engineering projects in the world.

About You

To be considered for this role it is envisaged you will possess the following attributes:

• Experience with 3D visualization tools and techniques.
• Knowledge of SQL databases and query optimization techniques.
  • Knowledge in programming using, SQL, python, PowerShell, VBA Associate or bachelors degree (or equivalent experience) in a relevant engineering discipline. • Proven 5 years or more knowledge of engineering, design, procurement, or construction within a relevant industry (e.g. Oil & Gas, Energy, or Marine industries) • Proven 3 years or more experience of AVEVA products or similar technologies. • Proven experience in AVEVA AIM-A administration, including configuration, deployment, and support. • Proficiency in PowerShell programming, with experience developing scripts and tools for automation. • Proficiency in SQL programming, with experience developing tables, queries, views, and stored procedures for data storing, analyses, and reporting. • Familiarity with AVEVA ISM and its integration capabilities. • Proficiency in creating dashboards and reports using Power BI or similar BI tools. Certification in AVEVA AIM-A administration or related technologies. • Strong analytical skills and experience with data analysis techniques and tools