- 4+ years in Data Engineering / Data Quality Engineering.
- Strong hands-on experience with Microsoft Fabric ÔÇô Lakehouse, Warehouse, Notebooks & Pipelines.
- Excellent SQL, Python & PySpark skills.
- Experience in data validation, reconciliation, migration testing and data quality frameworks.
- Strong knowledge of row count, null/completeness, duplicate, aggregate and source-to-target reconciliation checks.
- Experience with Azure Data Factory, Power BI, Git & Azure DevOps.
- Knowledge of data quality monitoring, schema drift, data freshness and anomaly detection.
- Experience validating semantic models, KPIs and Power BI reports.
- Fabric certifications (DP-700/DP-600) are preferred.
- Solid RCA and problem-solving skills.