Databricks Sme

Salary - Upto 25 LPA

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL processes on Databricks .
• Lead the architecture and implementation of scalable, secure, and high-performance data solutions.
• Collaborate with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
• Optimize data workflows for performance, cost-efficiency, and reliability .
• Integrate data from multiple structured and unstructured sources into Delta Lake and cloud data warehouses.
• Implement best practices in data governance, security, and quality management.
• Mentor junior engineers and provide technical leadership in data engineering best practices.
• Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity .

Required Skills & Experience

AWS / GCP a plus).