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.

Robust 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Associate III - Data Engineering - Python with AWS (Bengaluru)
🏢 UST
📍 Bengaluru