Lead Data Engineer

Carrier — Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Job Title – Lead Data Engineer Preferred Location - Hyderabad, India Full time/Part Time - Full Time Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. Summary: We are seeking an Data Engineering expert, who will be a key contributor and hand-on in the software/firmware development and implementation for the QLIQ – Quantum Leap Intelligent Quadrant solution, working with global experts and system architects. This position will focus on new development of firmware as well as enhancement of existing applications. This position requires the ability to work under minimal direction, Partner with: Systems Integration Engineers, Controls Engineers, AI/ML teams, Modeling & simulation teams, Backend/platform teams. Key Responsibilities: Edge Data Acquisition & Protocol Integration (Primary Focus) Design and implement robust edge data ingestion pipelines to acquire telemetry and control data from all equipment’s and systems using BACnet (IP/Serial), Modbus, and data‑center‑specific protocols. Develop edge agents capable of running in air-gapped, on-prem-only environments Implement data streams integration from controls platforms, field devices, and supervisory systems Ensure ingestion layer meets KPIs: Low latency, High throughput, Fault tolerance Embedded Data Storage & Pre‑Processing Design and implement local edge storage solutions , including hot and cold data tiers , optimized for performance, retention, and reliability. Implement data preprocessing, filtering, aggregation, feature extraction, and quality checks at the edge to support downstream analytics and models. Platform Architecture &

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