Data Engineer - ADAS

Job Description:

Data Engineer - Automotive Analytics (PySpark, Databricks, Azure, Power BI)

• Data Processing Engineering - Build and optimize ETL pipelines using PySpark Databricks for large-scale automotive datasets and should have implementation knowledge of CI/CD pipelines .
• Cloud Big Data - Work with Azure Data Lake, Synapse, ADF, and Databricks for data storage, transformation, and processing.
• Analytics Insights - Perform statistical analysis, predictive modeling, and trend identification on vehicle test drive data, environmental conditions, and KPIs .
• Dashboard Reporting - Create interactive Power BI dashboards using DAX, KPI visualizations, and real-time analytics .
• Collaboration Documentation - Work with data scientists, engineers, and stakeholders , ensuring clear documentation.

Must have skills:

Data Engineer - Automotive Analytics (PySpark, Databricks, Azure, Power BI)

• Data Processing Engineering - Build and optimize ETL pipelines using PySpark Databricks for large-scale automotive datasets and should have implementation knowledge of CI/CD pipelines .
• Cloud Big Data - Work with Azure Data Lake, Synapse, ADF, and Databricks for data storage, transformation, and processing.
• Analytics Insights - Perform statistical analysis, predictive modeling, and trend identification on vehicle test drive data, environmental conditions, and KPIs .
• Dashboard Reporting - Create interactive Power BI dashboards using DAX, KPI visualizations, and real-time analytics .
• Collaboration Documentation - Work with data scientists, engineers, and stakeholders , ensuring clear documentation.