Date: Jul 9, 2026
Job Requisition Id: 65490
Location:
Bangalore, KA, IN Bangalore, KA, IN
#job-location.job-location-inline { display: inline; }
.buttontext47d030a40eb4ac5c a{ border: 1px solid transparent; } .buttontext47d030a40eb4ac5c a: focus{ border: 1px dashed #2b97ef !important; outline: none !important; }
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire Python Professionals in the following areas :
Job description:
Experience required: 3-5 years
Role overview:
We are seeking an OT Integration & Data Engineering Specialist to join our Digital Lab team. This is a hands-on technical role focused on bridging Operational Technology (OT) environments with modern data engineering practices. You will design, build, and maintain data pipelines and integration workflows that connect lab instruments, industrial control systems, and enterprise platforms, enabling reliable, scalable, and automated data flows across our technology landscape.
You bring strong software engineering instincts, are equally comfortable working with Windows-based OT environments and cloud-native AWS services and thrive on solving real-world integration challenges at the intersection of IT and OT.
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, alerting, 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 Qualification:
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.
Technicall skills at a Glance.
Python (pandas, boto3, requests)
AWS (S3, Lambda, Glue, Step Functions)
Windows Server / File Shares (SMB)
Rest API Development
JSON/XML/CSV/Parquet
Git/Version Control
Java Script
ETL/ ELT Pipeline Design
Event-Driven Architecture.
Monitoring, Logging & Alerting
SQL & Data Querying.
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
Flexible work arrangements, Free spirit, and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All Support needed for the realization of business goals,
Stable employment with a great atmosphere and ethical corporate culture
