Related skills
hadoop dbt spark azure data factory azure databricks📋 Description
- Design scalable cloud data architectures on GCP using Azure services.
- Build data models to support business needs.
- Create data pipelines for ingestion, transformation, loading.
- Govern data quality, security, and metadata.
- Collaborate with data engineers and scientists to align data needs.
- Stay current with data architecture and cloud trends.
🎯 Requirements
- Deep knowledge of GCP data services and Azure stack (Synapse, Data Factory).
- Data modeling techniques and best practices.
- Spark and Hadoop experience.
- Design scalable, reliable cloud architectures.
- Data governance: quality, security, compliance, metadata.
- Proficiency in SQL, Python, DBT.
- Bachelor’s degree in CS/Engineering or related field.
- Microsoft Certified: Azure Data Engineer or Azure Solutions Architect is a plus.
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