
Expert Large Scale Data System Architect
2 days ago
A data engineer is responsible for designing, building, and maintaining large-scale data systems. The role involves working with distributed computing frameworks like Apache Spark to optimize data processing pipelines.
The ideal candidate will have experience in setting up and managing CI/CD pipelines using Git and DevOps tools. Strong knowledge of Databricks and its ecosystem is required, including Unity Catalog for governance and security.
Azure data engineers should have a solid understanding of ETL pipeline development using Azure Data Factory or Informatica. Experience with cloud-based data warehousing and lakehouse architecture is also necessary.
We are looking for a skilled professional who can lead Databricks architecture, development, and operations. This includes designing scalable data lakes, warehouses, and lakehouses, as well as optimizing Databricks clusters, jobs, and workflows.
Requirements:- 5+ years of experience in data engineering
- Strong expertise in Databricks and Apache Spark
- Hands-on experience with Unity Catalog for governance and security
- Proven track record of building and optimizing ETL pipelines
- Solid understanding of CI/CD practices and automation for Databricks
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