Senior Data Engineer

Netradyne
Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3-6 yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Communication","Attention to detail","Quick learner"]

Senior Data Engineer role focused on building and scaling real-time data platforms powering AI/ML systems for fleet safety products. You will design and operate high-throughput streaming pipelines, collaborate with Data Science teams, and deploy production-grade data systems in containerized environments, driving performance and reliability at scale.

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FursaFursa
Netradyne
Netradyne
3 months ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Senior Data Engineer role focused on building and scaling real-time data platforms powering AI/ML systems for fleet safety products. You will design and operate high-throughput streaming pipelines, collaborate with Data Science teams, and deploy production-grade data systems in containerized environments, driving performance and reliability at scale.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Build and maintain scalable data pipelines for real-time and batch processing (Kinesis, SQS-based systems).
  • •Develop data platforms supporting ML workflows including feature generation, training, and validation pipelines.
  • •Optimize pipeline performance, reliability, and scalability across high-volume environments.
  • •Develop backend components and services for data processing systems.
  • •Deploy, monitor, and troubleshoot production data systems.

Key Requirements

  • •3–6 years of experience in Python-based data/backend engineering.
  • •Strong programming fundamentals — data structures, algorithms, and OOP.
  • •Experience with AWS services (Kinesis, SQS, Lambda, or similar).
  • •Experience building and managing data pipelines and workflows (Airflow/DAGs).
  • •Good understanding of data modelling and databases (RDBMS/NoSQL)
Experience:3-6 yearsAISaaSEdge computing
Education:Bachelor's
Skills:Problem-solvingCollaborationCommunicationAttention to detailQuick learner
Languages:English
Tech Stack:PythonAWSKinesisSQSLambdaAirflowDockerKubernetesJenkinsGitHubLinux

Company Brief

Netradyne
Provides AI-driven fleet safety and driver performance solutions using computer vision and edge analytics to monitor driving behavior, prevent collisions, and optimize fleet operations for commercial vehicle operators.
Industry: Logistics
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2015
Website