i. Manage PI historians (access, new tags, security, interfaces).

ii. Manage AF SQL servers (access, security, create/edit new databases).

iii. Work with PI analysts to get workflow tags created on in-country PI historians for workflow output.

Requisitos:
Experienced Analyst(s)

a) Responsibilities:
i. Manage PI historians (access, new tags, security, interfaces).
ii. Manage AF SQL servers (access, security, create/edit new databases).
iii. Work with PI analysts to get workflow tags created on in-country PI historians for workflow output.

b) Required Skills:Soft Skills needed:
Able to work in an Agile environment.
Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolution of problems.
Able to translate data requirements into business processes and reverse engineer business processes into data requirements.
Strong communication and interpersonal skills with strong English proficiency.
Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team.
This is a hands-on technical role; the analyst should be able to work independently with the business and also in a team environment.

Technical Skills:
2+ years of demonstrated work experience supporting PI and/or PI AF.
Basic understanding of sensor data.
Knowledge and experience of working with the PI AF client.
Adding new databases, elements, creating/editing templates and analyses.
Add additional attributes, calculations, analyses as required from workflow groups and update global templates and existing AF databases (these are requested as the workflow is developed for the site).
SME for AF Builder tool – understand how it works, what is required and be able to teach PI analysts supporting in-country PI historians.
Understanding how PI tags are created and what info is required.
Understanding how PI databases work with each other.
Extensive interface skills especially using OPC UA/OPC DA/PItoPI/PI System Connector.
Properly designing and implementing interfaces that start up quickly and bring in high resolution data (sub-second data).
Interfaces are designed in such a way that troubleshooting can be quick and possibly automated.
Data Archive System skills.
Configuring systems with high tag count and high data resolution.
Expert in data manipulation tools such as: TOAD, Access, Excel.
Applications experience (e.g., VB Programming).
Intermediate to advanced SQL querying (SQL Server/Oracle etc.).
Comprehension of DevOps and Agile development and application to data centric architecture and solutions.
Practical skill sets in Data visualization tools.
Knowledge of other programming languages (as specified in an Order or communicated verbally by Buyer, as needed) and ability to write code.

Inglish Advanced.