Job Description:
- We are seeking a skilled Data Pipeline Engineer OT IT Integration to design build and manage robust data pipelines connecting industrial systems SCADA MES with enterprise and cloud platforms
- The role focuses on enabling seamless Operational Technology OT to Information Technology IT integration leveraging UNS ISA 95 88 principles and ensuring secure scalable and high performing data solutions across on premise and cloud environments
Key Responsibilities:
- Design develop and operate end to end data pipelines for batch and real time streaming data from industrial systems such as SCADA MES and Historians to enterprise or cloud platforms
- Implement Unified Namespace UNS architecture aligned with ISA 95 88 standards
- Model transform and govern industrial data ensuring quality lineage and metadata management
- Develop and integrate solutions using APIs connectors and industrial protocols
- Optimize database schemas and performance across SQL and NoSQL databases
- Ensure data security authentication and authorization AuthN AuthZ best practices are implemented
- Build scalable resilient and cost efficient data solutions in on premises and cloud environments
- Collaborate with cross functional teams to design architecture workflows and technical documentation
- Maintain version control and CI CD practices using Git GitHub branching reviews releases
Technical Requirements:
- Strong experience in data engineering and pipeline development batch streaming
- Hands on expertise with SCADA MES Historians and industrial data systems
- Knowledge of cloud platforms Azure AWS or GCP experience with Azure Event Hubs Event Grid is a plus
- Familiarity with industrial communication protocols such as
- OPC UA
- MQTT
- BACnet
- Modbus
- Experience with integration platforms HighByte preferred and RESTful APIs
- Proficiency in data modeling database design and performance tuning
- Experience implementing data governance security and compliance frameworks
- Understanding of DevOps practices and version control tools Git GitHub
Additional Responsibilities:
- Industry experience in manufacturing life sciences or industrial environments with OT IT integration exposure is highly preferred
- Familiarity with regulated environments GxP and enterprise data governance frameworks is an advantage
- Strong analytical problem solving and troubleshooting skills
- Excellent communication and stakeholder management abilities
Preferred Skills:
Technology->Data Engineering->Databricks,Technology->Industrial IOT Embedded Software->MES,Technology->Industrial IOT Embedded Software->Control Systems & Acquisition Systems->SCADA,Technology->Industrial IOT Embedded Software->OPC Standards for process control->OPC UA,Domain->IOT->Azure IoT
