Data Quality Engineer

• Develop and maintain data quality monitoring frameworks within the Azure ecosystem (Data Factory, Data Lake, Databricks).
• Design and implement Data Quality Checks: validation, profiling, cleansing, and standardization.
• Detect data anomalies and design alerting systems (rules, thresholds, automation).
• Collaborate with Data Engineers, Analysts, and Business stakeholders to define data quality criteria and expectations.
• Ensure high data accuracy and integrity for Power BI reports and dashboards.
• Document data validation processes and recommend improvements to data sources.

• 3+ years of experience in a Data Quality, Data Engineering, or BI Engineering role.
• Hands-on experience with Microsoft Azure services (Data Factory, SQL Database, Data Lake).
• Advanced SQL skills (complex queries, optimization, data validation).
• Familiarity with Power BI or similar BI tools.
• Understanding of DWH principles and ETL/ELT pipelines.
• Experience with data quality frameworks and metrics (completeness, consistency, timeliness).
• Knowledge of Data Governance, Master Data Management, and Data Lineage concepts.

• Experience with Databricks or Apache Spark.
• DAX and Power Query (M) knowledge.
• Familiarity with DataOps or DevOps principles in a data environment.
• Experience in creating automated data quality dashboards in Power BI.

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