AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Proficiency in SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups, including both structured and unstructured data. More ❯
Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). Knowledge of big data technologies (e.g., Hadoop, Spark). Knowledge of data lifecycle management. Strong problem-solving skills and attention to detail. Ability to work in an agile development environment. Excellent communication More ❯
workflows professional motorsports organization. Experience using simulation tools to optimize vehicle performance. Experience with machine learning libraries. Experience with big data tools (e.g. Hadoop, Spark, SQL, and NoSQL Database experience). About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace More ❯
