Experience
3 - 6 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Engineer
Job Type
ONSITE
Job Description
Job Overview:
Job Overview: As a Senior Data Engineer at Netradyne, you will build and scale data platforms that power real-time AI and ML systems at the core of our fleet safety products. You will design and operate high-throughput streaming pipelines and production-grade data systems deployed at large scale, working closely with Data Science and ML teams to bring AI solutions to life in a fast-paced, impact-driven environment.
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.
- Work with distributed systems in containerized environments (Docker, Kubernetes/EKS).
- Collaborate with Data Science and ML teams to productionise AI solutions.
- Follow engineering best practices including code quality, testing, and CI/CD pipelines (Jenkins).
- Work with AI agents to solve data engineering problems at hand
Mandatory Skills:
- Bachelor s degree in computer science or related field.
- Bachelors/Masters degree in Computer Science or related field.
- 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 with Docker and Kubernetes.
- Hands-on experience with GitHub and CI/CD tools like Jenkins.
- Strong Linux fundamentals and debugging skills.
- Good problem-solving ability and attention to detail
Preferred Skills
- Prior experience in working with Product or SaaS Companies.
- Experience with streaming/event-driven architectures.
- Exposure to NoSQL databases (MongoDB, Cassandra).
- Basic understanding of ML pipelines and concepts.
- Familiarity with modern AI concepts (RAG, AI agents, prompt engineering).
- Experience in high-scale, real-time data environments.
- Familiarity with Agile development methodologies
No Referrers Available
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