Model-Based System Engineer
3 weeks ago
Model-Based System Engineer
Responsibilities :
- Candidate Should have competency in data handling, visualization and storing the data in database.
- Automate the developed testcases using test libraries in CAPL/PYTHON.
- Able to set up the database to store the collected data.
- Able to set up the Django backend to periodically collect the data.
- To establish connection to Wiki and use it to grab data.
- Able to Integrate and include JIRA data for project management
- To grab data from GitHub, Automation Hub, and SonarQube to calculate code quality by component in an automated way.
- To Lead and assist in a variety of activities around setting the thresholds for the metrics and creating visuals in order to track quality
- To automate the visualization of health charts and recreate the capability health charts in a completely automated way.
- To understand and perform High level design (HLD) to Detailed level design (DLD) software component traceability
- To perform code quality check by component in automated way using SonarQub
Technical Skill set :
- Python (experience in Pandas/Matplotlib/Seaborn), Django, Mongo DB, GitHub, MagicDraw( optional/Good to have), Sonarqube, REST APIs, Jira Domain knowledge
- Strong expertise in ADAS and electrical systems, including their design and implementation.
- Candidate should have demonstrated competency in data handling, visualization and data storing and retrieving from database preferably Mongo DB and Django.
- Good to have domain knowledge on Sysml modeling using Magic draw
- Knowledge on Automotive systems and domain is preferred.
- Having good experience with Python Anaconda / Pandas / Plotly / Seaborn / Matplotlib / Jupyter notebook.
- Code quality assessment experience using SonarQube
Qualification : BE /ME - Embedded / Mechatronics/ Electronics /Computer/IT
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