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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable ETL/ELT data pipelines using PySpark and Databricks for large-scale automotive datasets.
Work with Azure cloud services (Data Lake, Synapse, Data Factory) to ingest, transform, and process data.
Develop interactive Power BI dashboards with real-time analytics to support engineering and business stakeholders.
Minimum Requirements
Strong experience with PySpark, Databricks, and distributed data processing.
Hands-on experience in Azure data services including ADLS, ADF, and Synapse.
Proficiency in SQL, Python, and Power BI dashboard development using DAX.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience or familiarity with the automotive domain and related data workflows.
Understanding of CI/CD and DevOps practices within data engineering environments.
Ability to perform statistical analysis and build predictive models on vehicle and performance data.