Design, build, test, and maintain ETL/ELT pipelines using PySpark, SQL, and Python within the Databricks ecosystem

Implement data quality frameworks and pipeline monitoring

Support migration of legacy SQL Server workloads to cloud-native architecture

Design and develop Power BI dashboards and reports aligned to DNA standards

Automate refresh processes and ensures consistency with Gold-layer semantic models

Develop, train, and deploy ML models with proper experiment tracking (MLflow), feature engineering, and model monitoring

Support forecasting, segmentation, and predictive analytics initiatives

Designs, codes, verifies, tests, documents, amends, and refactors simple programs/scripts

Applies agreed standards and tools, to achieve a well-engineered result

Reviews own work