Netradyne

2 months ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 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

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Netradyne

2 months ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

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

Industry: Logistics

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2015

Website