6 Tasks Active
Linux Systems
Navigate the shell, manage permissions, and automate system tasks at the source.
Build a verifiable engineering profile by shipping solutions to actual production bottlenecks, not abstract algorithm puzzles.
Navigate the shell, manage permissions, and automate system tasks at the source.
Automate, analyze, and debug data workflows with Python. The core track for modern DEs.
Master complex analytical queries, performance tuning, and data modeling in the warehouse.
Transform data with version control and engineering best practices using dbt.
Orchestrate data pipelines. Write DAGs. Debug failures.
Process large datasets with PySpark in local cluster mode.
Provision and audit data infrastructure as code.
Architect and debug resilient cloud infrastructure. Handle live AWS scaling incidents.