Data Engineer
Diconium (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
Reach people at Diconium
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Diconium you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop embedded C/C++ software and Python automation for connected-vehicle and vehicle-to-cloud data solutions.
- Own deployment concepts, release processes, rollout readiness and operational support across vehicle and cloud systems, including OTA updates and device lifecycle management.
- Make deployment-related technical decisions, conduct design/code reviews, and lead troubleshooting, incident resolution and deployment sign-off support.
Minimum Requirements
- Work Experience Required: 3–5 years.
- Required technical skills: embedded C/C++, Python, Linux development, Microsoft Azure and hands-on Databricks integration using APIs/SDKs; OTA updates and Mender.
- Also required: CI/CD pipelines, automated testing, basic network topology and IT security fundamentals.
- Location: Bangalore, hybrid.
Ideal Candidate Profile
- Best suited to someone who has worked across embedded/edge software and cloud services, particularly integrating vehicle data with Azure and Databricks.
- Likely to fit candidates comfortable owning deployment decisions and release readiness, and leading operational troubleshooting across vehicle and cloud environments.
- Automotive, connected-vehicle, ADAS, SDV, IoT, automotive OS, Docker/Kubernetes, or vehicle protocol experience may strengthen fit; these are listed as good-to-have, not required.