Azure with Data Bricks, SQL, PySpark, Python

Key Responsibilities:

• Design, develop, and maintain end-to-end data pipelines using Azure Databricks
• Implement scalable ETL/ELT solutions using PySpark
• Optimize Spark jobs for performance and reliability
• Work with large-scale structured and semi-structured datasets
• Develop and maintain SQL-based data models for analytics and reporting
• Collaborate with data scientists, analysts, and business stakeholders
• Ensure data quality, governance, and security best practices
• Participate in code reviews, troubleshooting, and performance tuning
• Support deployment and orchestration using Azure-native services