Azure Databricks Developer
2 weeks ago
We are seeking a highly skilled Azure Databricks Engineer to join our team at IT Source Global.
Key Responsibilities:
- Design, develop, and maintain scalable data processing solutions using Azure Databricks and Azure Data Factory.
- Build and optimize end-to-end data pipelines for batch and real-time data ingestion, transformation, and loading.
- Develop complex ETL processes using PySpark on Databricks, ensuring high performance, scalability, and reliability.
- Utilize Python to script and automate data workflows and transformations.
- Write optimized SQL queries for querying and managing large datasets in Databricks and other data storage solutions.
- Integrate Azure Data Factory pipelines with Databricks and other Azure services to orchestrate data workflows.
- Collaborate with data engineers, data scientists, and analysts to understand data requirements and deliver effective data solutions.
- Implement data validation, quality checks, and error-handling mechanisms to ensure data accuracy and integrity.
- Monitor, troubleshoot, and optimize Databricks jobs and pipelines for performance and cost efficiency.
- Stay up to date with the latest developments in Azure data services and best practices in cloud data engineering.
Requirements:
- 3+ years of experience in designing, developing, and maintaining data processing solutions using Azure Databricks and Azure Data Factory.
- Strong knowledge of PySpark, Python, and SQL.
- Experience with cloud data engineering and Azure services.
- Collaborative mindset and excellent communication skills.
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