• Design, implement, and maintain scalable data pipelines and ETL/ELT workflows on Databricks and cloud platforms. • Manage large-scale geospatial and temporal datasets stored in AWS S3. • Collaborate with data scientists to productionize machine learning models and ensure smooth data availability. • Implement data validation, testing, and monitoring frameworks to ensure data accuracy, consistency, and reliability. • Optimize data storage and processing strategies to handle high volumes of traffic and mobility data efficiently. • Develop and maintain documentation for data workflows, architecture, and processes. • Work closely with cross-functional teams to understand data requirements and ensure timely delivery. • Stay up-to-date with the latest trends and best practices in data engineering, cloud technologies, and big data processing.