- 5+ years of experience in analytics engineering or data engineering Python and PySpark.
- 5+ years of hands-on experience in using advanced SQL queries (analytical functions), experience in writing and optimizing highly efficient SQL queries.
- Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
- Proven track record in building, monitoring, and optimizing large-scale data systems and analytics infrastructure.
- Experience working in Databricks & Azure environment (or other cloud equivalents).
- Experience working with pipeline scheduling tools such as Airflow & Astronomer.
- Experience working with CI/CD tools such as TeamCity, Terraform, Github, Octopus.
- Ability to push the frontier of technology and freely pursue better alternatives.