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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.
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