UST
Website:
ust.com
Job details:
Role Description
Key Responsibilities
- OT Integration: Design and implement integrations between OT systems (Lab instruments) and IT/cloud platforms
- Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines in Python to ingest, transform, validate, and deliver data from OT sources to downstream systems and data stores.
- File Share & Event-Driven Workflows: Develop and manage file-based integration patterns using Windows file shares (SMB/UNC), monitoring file drop events and triggering automated processing workflows.
- Cloud Data Engineering (AWS): Architect and maintain data flows on AWS using services such as S3, Lambda, Glue, Step Functions, SQS/SNS, and EventBridge to process and route lab and OT data at scale.
- JavaScript / Node.js Development: Develop lightweight integration services, APIs, and event handlers using JavaScript/Node.js for connector logic, web service interfaces, and real-time data routing.
- Orchestration & Workflow Automation: Design workflow orchestrations to automate multi-step data processes, handle retries, error states, and notifications across connected systems.
- Monitoring & Reliability: Implement monitoring, ing, and logging strategies to ensure integration reliability and rapid incident response across OT/IT boundaries.
- Windows Infrastructure: Manage integration agents and services deployed on Windows Server, including scheduled tasks, service management, network share configuration, and security permissions.
- Collaboration & Documentation: Work closely with lab operations, IT infrastructure, and platform teams to gather requirements, document integration designs, and maintain technical runbooks. Required Qualifications
- 3-5 years of experience in data engineering, systems integration, or OT/IT convergence roles.
- Proficiency in Python for data pipeline development, scripting, and automation (pandas, requests, boto3, etc.).
- Solid JavaScript/Node.js skills for building integration services, REST APIs, and event-driven handlers.
- Hands-on AWS experience: S3, Lambda, Glue, Step Functions, SQS/SNS, IAM, CloudWatch.
- Experience with Windows Server environments: file shares (SMB/UNC), scheduled tasks, service management, Active Directory basics.
- Strong understanding of ETL/ELT patterns, data transformation, and structured/semi-structured data formats (JSON, XML, CSV, Parquet).
- Experience with REST API design and consumption; familiarity with message queuing and event-driven architectures.
- Ability to work independently, troubleshoot complex integration issues, and communicate findings clearly.
- Bachelor’s degree in computer science, Software Engineering, Data Engineering, or a related technical field.
Skills
data engineering,python,data pipeline development,node.js,
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