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.
