Job Description
Highly skilled Azure Data Engineer with strong hands-on experience in Azure Databricks, PySpark, and Azure Data Services. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and enterprise data platforms that support analytics, reporting, and business intelligence initiatives.
- Design, develop, and optimize ETL/ELT pipelines using Azure Databricks and PySpark.
- Build scalable batch and real-time data processing solutions.
- Develop and maintain data ingestion frameworks from multiple data sources.
- Implement data models, Delta Lake architecture, and performance optimization techniques.
- Work with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse Analytics.
- Ensure data quality, security, governance, and monitoring across the platform.
- Troubleshoot and resolve data pipeline performance issues.
- Implement CI/CD processes using Azure DevOps.
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