Experience
3 - 6 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Engineer
Job Type
ONSITE
Job Description
Job Title: Data Engineer
Group: E3 1.2
BU: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 3 - 6 Years
Key Responsibilities
- Data Processing & Engineering Build and optimize scalable ETL pipelines using PySpark & Databricks for large-scale automotive datasets; implement CI/CD pipelines for robust deployment.
- Cloud & Big Data Work with Azure Data Lake, Synapse, ADF, and Databricks for data ingestion, transformation, and storage.
- Analytics & Insights Perform statistical analysis, predictive modeling, and trend identification on vehicle test drive data, environmental parameters, and system KPIs.
- Dashboard & Reporting Develop interactive dashboards with Elasticsearch, Power BI, KPI visualizations, and real-time analytics for engineering teams and stakeholders.
- Collaboration & Documentation Partner with data scientists, vehicle engineers, and cross-functional stakeholders, ensuring clear documentation of data pipelines and processes.
Must-Have Skills
- Data Engineering & Cloud :
- PySpark, Databricks, Azure Data Lake, Azure Synapse, Azure Data Factory .
- Proficiency in ETL pipeline design, optimization, and CI/CD implementation .
- Analytics & Visualization :
- Power BI , Elastic Search with expertise in KPI creation, Kibana and real-time reporting .
- Ability to generate actionable insights from large-scale ADAS datasets .
- Automotive Data Expertise :
- Strong experience with vehicle trace data analysis (e.g., CAN, LIN, Ethernet).
- Hands-on with CANoe or similar automotive tools for ECU communication protocol analysis.
- Knowledge of ECU communication protocols (CAN, LIN, FlexRay, Ethernet)
- Collaboration & Documentation :
- Strong communication skills to work with cross-functional teams and document solutions effectively.
Nice-to-Have Skills
- AI/ML in ADAS domain :
- Exposure to AI/ML model training, deployment, and performance monitoring .
- Familiarity with Azure Machine Learning services .
- Big Data & Streaming Analytics :
- Knowledge of Kafka, Event Hubs, or real-time data streaming for automotive use cases.
- Automation & DevOps :
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for data workflows.
No Referrers Available
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