Fabric Data Quality Engineer
AiHR Enterprises Pvt Ltd4+ yrsAhmedabadRemoteDirect career pageEst. 8–14 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data quality engineering tasks using Microsoft Fabric components including Lakehouse, Warehouse, Notebooks, and Pipelines.
- Perform data validation, reconciliation, migration testing, and implement data quality frameworks focusing on checks like row count, nulls, duplicates, and source-to-target reconciliation.
- Validate semantic models, KPIs, and Power BI reports while monitoring data quality metrics such as schema drift, data freshness, and anomaly detection.
Minimum Requirements
- Minimum 4 years of experience in Data Engineering or Data Quality Engineering.
- Strong hands-on skills in Microsoft Fabric (Lakehouse, Warehouse, Notebooks, Pipelines).
- Proficiency in SQL, Python, and PySpark.
- Experience with Azure Data Factory, Power BI, Git, and Azure DevOps.
Ideal Candidate Profile
- Experienced in implementing comprehensive data quality frameworks across large-scale data environments with Microsoft Fabric.
- Skilled in deep data validation techniques including reconciliation and anomaly detection to ensure high data integrity.
- Comfortable working remotely with off-hour shifts and immediate joining availability.