Full Stack/Data Engineer - MC

Role Overview

We are seeking an experienced Full Stack/Data Engineer with deep expertise in building high-throughput, cloud-based data ingestion pipelines and programmatic API layers. The role focuses on designing scalable, real-time data systems and enabling reliable, low-latency access to large-scale telemetry data.

Key Responsibilities

• Design and implement high-throughput cloud-based data ingestion pipelines

• Architect real-time ingestion systems capable of handling high-velocity telemetry data at scale

• Develop and maintain streaming quality control frameworks with sub-second anomaly detection

• Design and build low-latency RESTful or gRPC APIs for high-frequency data ingestion and large-scale retrieval

• Optimize system performance for scalability, reliability, and low latency

• Collaborate with cross-functional teams including data scientists, engineers, and platform teams

Required Skills & Qualifications

• Strong experience in building data pipelines and distributed systems

• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP)

• Proficiency in API development (RESTful and/or gRPC)

• Experience with real-time streaming technologies and frameworks

• Strong programming skills in languages such as Python, Java, or Scala

Preferred Qualifications

• Experience with data governance and access control frameworks

• Familiarity with non-proprietary time-series schema design

• Experience working with telemetry or IoT data at scale

Working Location : Central and multiple company's offices

We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes