About the role
About Axross
At Axross, we develop AI-powered HVAC optimization platforms that help industrial clients, including those in pharmaceuticals, semiconductors, and precision manufacturing - tomonitor, control, and reduce their energy usage. Our systems rely on high-quality, real-time data from IoT devices, sensors and BMS, which power smarter, greener decisions for our clients.
Role Overview
We’re looking for a skilled Data Engineer to build a scalable big data processing platform that enables real-time decision-making and AI-powered automation. You'll design systems that handle large-scale data processing, ensure high data quality, optimizing resource usage and reduce cost, and support cross-functional teams with actionable insights. Your work will directly contribute to improving energy efficiency and improve data visibility with real-time dashboard, all while helping us achieve our mission of making industrial HVAC systems smarter.
Key Responsibilities
- Build and maintain scalable big data pipelines that handle large volumes of sensor and control data
- Design and operate a real-time data processing system that supports timely decision-making
- Integrate Kafka and Spark Streaming for low-latency, event-driven data streaming
- Implement cloud-based analytics solutions (AWS, Azure, GCP) to support advanced processing
- Develop automated data quality checks to ensure high-quality, validated inputs and maintain the integrity of the data processed through the pipeline
