Senior staff Data Engineer

6 days ago

bangalore, India Netradyne Full time

About Netradyne


Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities/injuries.


Experience Range :- 9 to 15 years

Role and Responsibilities:



  • Lead a team of high-potential individuals with solid backgrounds in software development.
  • Opportunity to work on cutting-edge Generative AI services and software initiatives
  • Lead the development of cloud and web components to ingest, process, transform, and visualize data at scale.
  • Design and review scalable software architecture, ensuring it meets both current and future needs.
  • Develop and optimize back-end components to enhance system responsiveness and overall performance.
  • Take ownership of key product features and internal frameworks to enhance observability and system monitoring.
  • Implement engineering best practices, including unit testing, continuous delivery, and code quality checks using tools like SonarQube.
  • Oversee the deployment and monitoring of production-ready infrastructure, leveraging technologies such as ELK stack and Airflow.
  • Drive project delivery while ensuring effective communication with key stakeholders.
  • Own and manage software metrics and SLAs for multiple software services.

Requirements:

  • Exposure to AWS services like Kinesis, SQS, and ASG
  • Strong programming skills in Python.
  • Solid fundamentals in Computer Science, particularly in object-oriented programming (OOPs), algorithms, and data structures.
  • In-depth understanding of internals and schema design for various data stores (RDBMS and NoSQL).
  • Experience with data warehousing solutions like Snowflake and visualization tools such as Tableau.

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