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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong VW-group brand, Bangalore location, and common mid-level Data Engineer title increase candidate competition.
Core data engineering skills are transferable across industries, though automotive domain preference increases specialization.
Requires PySpark, Databricks, Azure, Power BI and domain-relevant skills, enforcing strict mandatory filters.
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.
Utilize Azure data services (Data Lake, Synapse, Data Factory) for data ingestion, transformation, and processing in cloud environments.
Develop interactive Power BI dashboards for engineering and business stakeholders to enable data-driven decisions.
Minimum Requirements
Strong experience with PySpark, Databricks, and distributed data processing technologies.
Hands-on expertise in Azure data services: Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse.
Proficiency in SQL, Python, and data modeling is mandatory.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in automotive domain analytics or related automotive data engineering projects.
Skilled in implementing CI/CD pipelines and DevOps practices for data workflows.
Familiar with dashboarding using Power BI including DAX and real-time analytics integration.