Databricks Engineer - ETL / Data Warehousing

Shift 1pm to 10pm / 3 pm to 12 am

Key Responsibilities :

• Design, develop, and optimize data pipelines and ETL workflows using Databricks.
• Implement scalable data integration solutions for large datasets across diverse data sources.
• Build and maintain data architectures for real-time and batch processing.
• Collaborate with data scientists, analysts, and stakeholders to ensure the delivery of high-quality data solutions.
• Monitor, troubleshoot, and optimize data workflows for performance and cost-efficiency.
• Ensure data governance, security, and compliance in all processes.

Qualifications :

Educational Background :

(ref : hirist.tech)