Required Skills & Experience

Edge Computing & Distributed Systems
Design and implement edge-based data processing solutions for low-latency and real-time analytics.
Develop and deploy lightweight services on edge devices and gateways.
Optimize data flow between edge, on-premise systems, and cloud platforms.
Ensure resiliency, fault tolerance, and productive resource utilization at the edge.

Broker & Enterprise Broker Systems (HiveMQ & Cedalo)
Architect and manage message broker systems (e.g., HiveMQ, Cedalo).
Build enterprise integration patterns using enterprise brokers or integration platforms.
Implement event-driven architectures for real-time data streaming and ingestion.
Monitor and tune broker performance for reliability and scalability.

Data Pipelines & Data Engineering
Design and maintain end-to-end data pipelines for batch and streaming workloads.
Develop ETL/ELT frameworks to transform and load data efficiently.
Integrate structured and unstructured data sources across enterprise systems.
Ensure data quality, consistency,



and availability across pipelines.

DataOps & Automation (Highbyte)
Implement DataOps practices including CI/CD for data pipelines.
Automate data workflows, testing, validation, and deployments.
Use orchestration tools (e.g., Airflow, Prefect) for pipeline scheduling and monitoring.
Establish governance, lineage tracking, and observability for data systems.

Programming & Development
Develop scalable backend systems using Python).
Build APIs, microservices, and data processing modules.
Use JavaScript (Node.js) for integration services, dashboards, or edge applications.
Write clean, maintainable, and testable code following best practices.

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.

📌 Ot/it Sr Dataops Developer Bengaluru
🏢 IBU Consulting
📍 Bengaluru