
Chief Data Solutions Architect
1 week ago
About the Job:
Azure data engineer - a crucial role in our organization - requires exceptional technical expertise, leadership, and innovation to design scalable data solutions.
Key Responsibilities:
- Develop and implement Databricks architecture, ensuring seamless development and operations.
- Design and optimize ETL/ELT pipelines with Python (PySpark), leveraging data engineering best practices.
- Implement and maintain CI/CD pipelines with Git/DevOps tools, ensuring efficient automation.
- Create scalable data lakes, warehouses & lakehouses, maximizing data efficiency.
- Optimize Databricks clusters, jobs & workflows (batch & streaming), minimizing latency.
Requirements:
- 5+ years of experience in data engineering, with a strong track record of delivering scalable data solutions.
- Expertise in Databricks & Apache Spark, with hands-on experience in Unity Catalog for governance, security, and lineage.
- Proven ability to build and optimize ETL pipelines (Azure Data Factory, Informatica, etc.), ensuring high-quality data integration.
- Solid understanding of CI/CD practices, Git integration, and automation for Databricks, ensuring efficient delivery.
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