✨ About The Role
- Design and implement ETL processes and data storage to integrate data from different sources for data analysis
- Collaborate with cross-functional engineers to create data applications for engineering analysis, vehicle reliability, and service operations
- Monitor and optimize the performance of data applications, identifying and resolving performance bottlenecks
- Create and maintain detailed documentation of data applications, ensuring clarity and accessibility
- Provide ongoing support and troubleshooting for data applications, working with stakeholders to resolve data-related problems efficiently
âš¡ Requirements
- Minimum of 3-5 years of experience in software engineering with a focus on data science and information systems
- Strong fluency in Python and data analysis packages such as pandas, numpy, SciPy, and similar
- Experience with data analysis computational frameworks such as Apache Spark, Hadoop
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data integration services
- Strong problem-solving skills and attention to detail