Major Responsibilities: 

• Develop Python, SQL, and PySpark-based applications and data flows within Databricks.
• Build and maintain data pipelines using DBT and Databricks, ensuring efficient and scalable data processes.
• Design and implement real-time and batch data processing systems to support analytics, reporting, and business needs.
• Monitor and analyze data pipelines for performance, reliability, cost, and efficiency.
• Proactively address any issues or bottlenecks to ensure smooth operations.
• Discover opportunities for process improvements, including redesigning pipelines and optimizing data delivery mechanisms.
• Manage and maintain Azure cloud services and monitor alerts to ensure system availability and performance.

Minimum Requirements:

• Demonstrated ability writing SQL scripts (required).
• Some experience with Python (strong plus).
• Exposure to Databricks is a significant advantage.
• Experience working in a cloud environment (strong plus).
• Experience with DBT Core or DBT Cloud is a major plus.
• Ability to quickly learn and absorb existing and new data structures.
• Excellent interpersonal and communication skills (both written and verbal).
• Ability to work independently and collaboratively within a team.