Found Description
Key Responsibilities
- Build and maintain ETL pipelines using Azure Databricks and PySpark.
- Develop and manage the Databricks Unity Catalog (data lake) .
- Build and integrate data‑driven applications using Azure Databricks and Azure services.
- Work with Azure Data Lake, SQL DB, Data Factory, Synapse Analytics, and Power BI.
- Optimize Databricks notebooks for performance and cost .
- Implement data quality, security, and governance standards.
- Troubleshoot workflow and application deployment issues within CI/CD processes .
- Document data flows, technical designs, and application architectures.
Required Qualifications
- Bachelor’s degree in IT, Computer Science, Engineering, or related field.
- Microsoft Certified: Azure Fundamentals .
- Databricks Data Engineer Associate (Professional preferred).