Full Stack/Data Engineer - MC
Summary
Designs high-throughput, cloud-based data ingestion pipelines and low-latency REST/gRPC APIs for real-time telemetry data at scale, using streaming frameworks on AWS/Azure/GCP with Python, Java, or Scala.
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**