We are seeking a highly skilled Data & Edge Platform Engineer with expertise in Edge computing, broker systems, enterprise integration, and DataOps pipelines. The ideal candidate will design, build, and maintain scalable data systems and real-time pipelines leveraging contemporary programming languages such as Python and JavaScript.
This role involves working on distributed architectures, event-driven systems, and enterprise-grade data platforms to enable seamless data ingestion, processing, and delivery across edge and cloud environments.
________________________________________

Keywords : HiveMQ, MQTT Broker, Cedalo, Edge Broker, Highbyte, DataOPS
Key Responsibilities
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 efficient 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 a

📌 Sr DataOps (Bengaluru)
🏢 AlgoLeap Technologies
📍 Bengaluru