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..
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..