
Databricks Data Solution Architect
22 hours ago
Job Summary:
We are seeking a seasoned Databricks professional to design and develop efficient data pipelines for our organization.
About the Role:
- Design, develop, and maintain ETL processes using Databricks PySpark to extract, transform, and load data from various sources.
- Optimize ETL workflows for performance and scalability using Databricks PySpark and Spark SQL.
- Implement robust error handling and monitoring mechanisms within ETL processes.
- Collaborate with cross-functional teams to translate data requirements into efficient ETL workflows and pipelines.
- Create advanced data pipelines using Databricks workflows.
- Develop and maintain data pipelines using Databricks PySpark, ensuring data quality, integrity, and reliability.
- Stay updated on the latest developments in Databricks PySpark, recommending and implementing best practices and optimizations.
- Document ETL processes, data lineage, and metadata for knowledge sharing and compliance with data governance standards.
- Work closely with data science and business intelligence teams to leverage data insights for business growth.
Requirements:
- Expertise in Databricks PySpark and Spark SQL.
- Experience in designing and developing complex ETL processes.
- Strong understanding of data architecture and engineering principles.
- Excellent collaboration and communication skills.
Benefits:
- Opportunity to work on cutting-edge data projects.
- Collaborative and dynamic work environment.
- Ongoing training and development opportunities.
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