Overview
Skills
Job Details
PI Historian Engineer
Location: Alpharetta, GA - Local candidates only
Mode of Interview: 1st round video / 2nd round onsite
Duration: 12+ months
OR OR
We are looking for a skilled PI Historian Engineer with hands-on experience in AVEVA PI System and cloud integration, particularly with Google Cloud Platform (Google Cloud Platform). In this role, you will be responsible for designing, implementing, and maintaining real-time data infrastructure to support critical operations and analytics initiatives. You will also be a key contributor to our digital transformation journey, enabling scalable, cloud-connected operational intelligence.
Key Responsibilities:
- Design, configure, and maintain AVEVA PI System components (PI Data Archive, PI Asset Framework, PI Vision, PI Interfaces/Connectors).
- Lead the integration of PI System data with Google Cloud Platform (e.g., BigQuery, Cloud Pub/Sub, Dataflow) to enable advanced analytics, visualization, and AI/ML workflows.
- Develop and manage data pipelines to extract, transform, and load PI data into cloud-based data lakes and analytical platforms.
- Support end users by developing PI Vision dashboards, PI AF templates, and event-based analytics.
- Collaborate with data engineering, IT, and operations teams to ensure data accuracy, timeliness, and availability across systems.
- Perform system upgrades, patching, and performance tuning for PI components.
- Ensure compliance with data governance, cybersecurity, and regulatory standards.
- Troubleshoot historian data flow, interface connectivity, and system reliability issues.
Required Qualifications:
- Bachelor's degree in Engineering, Computer Science, Industrial Automation, or a related field.
- 3+ years of experience working with AVEVA PI System (or OSIsoft PI), including configuration, administration, and troubleshooting.
- Experience integrating PI System with Google Cloud Platform tools such as:
- BigQuery
- Pub/Sub
- Cloud Functions
- Dataflow or Dataproc
Familiarity with industrial protocols (OPC DA/UA, Modbus, MQTT) and data acquisition systems.
Proficiency in scripting languages such as PowerShell, Python, or SQL for automation and integration.
Strong understanding of time-series data, historian architectures, and operational technology (OT) environments.
Preferred Qualifications:
- Experience with cloud-native PI connectors or custom ETL solutions for PI-to-Google Cloud Platform integration.
- Knowledge of AVEVA Data Hub / PI Cloud Connect.
- Familiarity with data visualization tools such as Looker, Grafana, or Power BI integrated with Google Cloud Platform.
- Google Cloud Platform certification (e.g., Associate Cloud Engineer or Professional Data Engineer) is a plus.
- Experience in industries like energy, utilities, manufacturing, or chemicals.
Priyanka Rani Technical Recruiter | E: |
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