Python Developer

4–8+ years of Python development experience.
 Strong experience with data engineering, especially ETL/ELT pipelines.
 Experience working with AWS, Azure, or GCP usage & billing datasets.
 Hands-on experience with pandas, NumPy, PySpark, or similar data
processing frameworks.
 Familiarity with Kubernetes, cloud compute primitives, and distributed
systems.
 Experience building dashboards or integrating with BI tools (e.g., Grafana,
Data dog, custom internal tools).
 Strong understanding of cloud resource utilization metrics and cost drivers.
 Ability to work in a fast-paced, execution-driven environment.