
Data Engineering Specialist
2 days ago
Azure Data Engineer
We are seeking a skilled data professional to design, build and maintain scalable data pipelines that support business intelligence initiatives.
- Main Responsibilities:
- Create robust ETL/ELT workflows in Databricks (PySpark, SQL, Delta Lake) to ingest, transform and curate metadata from multiple sources.
- Develop profiling logic to capture issue-level metadata and enable targeted remediation.
- Build data pipelines to generate metrics for dashboards covering data quality, lineage, job monitoring, access & permissions, query cost, usage & consumption, retention & lifecycle, policy enforcement, sensitive data mapping and governance KPIs.
- Automate asset onboarding, metadata enrichment, classification tagging and lineage extraction for integration into governance reporting.
- Implement logic for retention tracking and policy compliance monitoring.
- Design and maintain curated Delta tables for governance metrics.
- Monitor pipeline execution and optimize performance.
This position requires a strong understanding of data engineering principles, Azure services and Databricks. The ideal candidate will have experience with data governance, metadata management and data quality.
Key QualificationsThe following qualifications are essential for this role:
- Proficiency in Python, SQL and PySpark.
- Familiarity with Azure services such as Databricks, Data Lake and Purview.
- Strong understanding of data governance principles and practices.
- Experience with metadata management and data quality.
- Excellent problem-solving and analytical skills.
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