Avita®

Engineer

• Design and evolve data architecture (Data Lake / Lakehouse / Data Warehouse) on AWS.
• Build robust pipelines in Python/PySpark with a focus on performance and cost efficiency.
• Define engineering standards (orchestration, versioning, CI/CD, data testing).
• Implement Data Quality, Observability, and Data Governance practices.
• Work with large volumes of structured and unstructured data.
• Optimize workloads on Databricks and distributed environments.
• Collaborate closely with Product and Business teams, translating needs into scalable solutions.

Data Engineer