Data Quality Manager

Job description

Data Quality Engineer Job Description 1. **Data Governance & Lineage:** Proven experience enforcing data governance policies, managing data catalog, and mapping end-to-end **Data Lineage** from source to visualization layers. 2. **Strong SQL & Data Profiling:** Advanced proficiency in writing complex SQL queries to profile datasets, monitor schema drift, and identify structural anomalies. 3. **Python Programming:** Strong scripting skills in Python to build automated validation tests and interact with APIs/governance frameworks. 4. **Modern Data Stack (MDS):** Hands-on architecture experience with cloud data platforms like **Snowflake** or Databricks. 5. **Data Quality Tools:** Practical experience using testing and governance frameworks such as **Great Expectations** , **dbt test** , or enterprise catalog (e.g., Collibra, Informatica). 6. **Data Pipelines & Orchestration:** Solid understanding of ETL/ELT pipelines and orchestration tools ( **Apache Airflow** or Prefect) to embed quality checks and compliance controls directly into data workflows. **Preferred / Nice-to-Have:** 1. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and data masking techniques. 2. Experience with Big Data processing (Apache Spark/PySpark). 3. Experience with Data Observability platforms. 4. **Mandate: Collibra / Alation / Microsoft Purview**