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2 days ago
We are seeking a skilled data quality and governance specialist with hands-on expertise in data quality tools, metadata management, and data governance frameworks.
Job Description:The ideal candidate will drive the implementation of data quality rules, governance policies, and stewardship practices across modern data platforms like Databricks and BigQuery. The role involves working on implementing and managing data quality frameworks using tools like Informatica Data Quality (IDQ) or Axon/EDC. Additionally, you will configure and manage Unity Catalog in Databricks for access control, lineage tracking, and metadata management.
Key Responsibilities:- Implement and manage data quality frameworks using tools like Informatica Data Quality (IDQ) or Axon/EDC.
- Configure and manage Unity Catalog in Databricks for access control, lineage tracking, and metadata management.
- Define data validation rules within DBT at the transformation layer.
- Integrate quality checks and observability layers into BigQuery and Databricks pipelines.
- Develop and maintain data quality dashboards, alerts, and monitoring rules for key data assets.
- Apply data stewardship principles, including business glossary curation, metadata tagging, and domain modeling.
- 6+ years of experience in data quality, governance, or related data engineering roles.
- Proficient in Informatica IDQ, Axon/EDC, or equivalent data quality tools.
- Hands-on experience with Unity Catalog on Databricks.
- Strong knowledge of DBT, BigQuery, and Databricks, especially in integrating validation and observability.
- Experience with metadata management, data stewardship, and data lifecycle policies.
- Familiarity with data catalogs, business glossaries, and data domain modeling.
- Opportunity to work with cutting-edge cloud data governance platforms.
- Collaborative environment with focus on data reliability and transparency.
- Hybrid work model with 3 days in office.
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