Two (2) years of experience with: Azure Cloud Platform and Databricks; Statistical analysis and modelling using big data; Visualization tools including PowerBI and Tableau; GenAI and LLMs in the automotive industry to automate product health management; 12V and HV battery, vehicle mechatronics and vehicle architectures including software defined vehicles; Large automotive datasets including vehicle telemetry data from vehicle mechatronics, vehicle test tool (NeoVI, VDR) data, Vehicle Management and warranty data for building AI/ML models, automation and visualization tools; and Designing and optimizing large scale, cloud native data pipelines and lakehouse architectures on Azure Databricks-spanning Spark-based ETL/ELT, real time vehicle telemetry processing, data modeling, quality frameworks, visualization, LLM/AI integration, performance tuning, and CI/CD automation-to support high volume automotive analytics and enterprise reporting. REQUIREMENTS: Bachelor's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Five (5) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation OR Master's degree in Data Science, Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or related field of study and Three (3) years of experience as a Data Engineer, Data Analyst, Software Engineer, or related occupation.