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Data Quality Engineer

1 hour ago 2026/11/12 ·Application closes in 119 days
Other Business Support Services
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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.
This job post has been translated by AI and may contain minor differences or errors.
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