Data Quality Engineer

6 days ago

Abu Dhabi, Abu Dhabi, United Arab Emirates Forsyth Barnes Full time

Data Quality Engineer

Location: Abu Dhabi

Role Overview

We are seeking a Data Tester with strong experience in data validation, data quality, and ETL/ELT testing within a modern cloud data platform. The role will focus on validating data pipelines, transformations, and dimensional models built on Microsoft Fabric (Lakehouse/Warehouse), ensuring data accuracy, reliability, and readiness for analytics and reporting.

Key Responsibilities

  • Design and execute end-to-end data testing for
    Fabric-based
    data pipelines
  • Validate data ingestion into
    Fabric Lakehouse
    and
    Warehouse layers
  • Perform source-to-target reconciliation (row counts, aggregates, checksums)
  • Validate data transformations implemented via
    Fabric Data Factory Gen2, Dataflows, Spark Notebooks (PySpark)
  • Validate dimensional data models, business rules, and derived metrics
  • Ensure consistency of KPIs across analytical and reporting layers
  • Define and execute data quality checks (completeness, accuracy, consistency, timeliness)
  • Validate data lineage, metadata, and governance artifacts in
    Microsoft Purview and MDM systems
  • Support ongoing data quality monitoring and issue detection
  • Develop and maintain automated data validation using
    SQL
    and
    Python
    or
    PySpark
  • Support performance, regression, UAT, and production data validation
  • Collaborate with Data Engineers, BI teams, and Analysts to track and resolve defects
  • Maintain test documentation, data quality metrics, and release readiness reports

Requirements

  • 6+ years of overall QA
    / testing experience
    , with 4+ years focused on
    data testing
    , including migration, ingestion (batch and API),
    ETL/ELT
    , and data quality testing
  • Strong understanding of
    data warehouse concepts and analytics data flows
  • Advanced
    SQL
    for data validation and reconciliation
  • Experience testing data on
    Microsoft Fabric
    (Lakehouse / Warehouse)
  • Hands-on testing of: Fabric Data Factory Gen2 pipelines, Dataflows, Spark-based transformations (PySpark understanding)
  • Strong knowledge of
    dimensional modeling
    and
    SCD Type 1 & 2
  • Familiarity with
    Microsoft Purview
    for lineage, metadata, and governance validation
  • Experience with
    Python
    or
    PySpark
    for automated data testing
  • Experience testing
    Power BI
    semantic models, measures, and dashboards
  • Familiarity with
    CI/CD pipelines
    for data platforms

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