Job Summary 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 modern 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 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. ________________________________________ Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 4+ years of experience in data engineering, distributed systems, or platform engineering. • Strong proficiency in: o Python (data processing, APIs, automation) o JavaScript / Node.js • Hands-on experience with: o Message brokers: HiveMQ, Cedalo o Protocols : Kafka, MQTT, RabbitMQ, etc. o Data pipeline tools: Highbyte, Ignition, Airflow, Spark, Flink (preferred) • Experience with cloud platforms (Azure, AWS, or GCP). • Knowledge of containers and orchestration (Docker, Kubernetes). • Familiarity with CI/CD pipelines and DevOps practices. ________________________________________ Preferred Qualifications • Experience in setting up and building pipeline in HiveMQ, Cedalo & Highbyte • Experience with edge computing frameworks (Azure IoT Edge, AWS Greengrass). • Knowledge of stream processing frameworks (Kafka Streams, Apache Flink). • Experience in real-time analytics and event-driven architectures. • Exposure to data governance, lineage, and observability tools. • Understanding of security practices for distributed systems. ________________________________________ Key Competencies • Strong analytical and problem-solving skills. • Ability to work in cross-functional teams and enterprise environments. • Excellent communication and documentation skills. • Proactive mindset with focus on innovation and optimization. ________________________________________ Tools & Technologies • Languages: Python, JavaScript (Node.js) • Messaging: HiveMQ, Cedalo, Highbyte • Protocols : Kafka, MQTT, RabbitMQ • Data Tools: Airflow, Spark, Flink • Cloud: Azure / AWS / GCP • DevOps: CI/CD pipelines, Docker, Kubernetes • Monitoring: Prometheus, Grafana, ELK stack ________________________________________ Work Environment • Agile and collaborative team environment. • Opportunity to work on cutting-edge Edge + Data + AI ecosystems. • Exposure to enterprise-scale data platforms and modern architectures.

Sr.DataOPS Developer

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