Databricks Data Engineer

Role Summary

We are seeking a Databricks Data Engineer with 5+ years of experience building modern data platforms using Databricks Lakehouse architecture. The candidate should have strong expertise in Spark, Delta Lake, and large-scale cloud-native data engineering.

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines using Databricks.
• Build and optimize data processing frameworks using PySpark and Spark SQL.
• Implement modern Lakehouse architectures using Delta Lake.
• Develop and maintain bronze, silver, and gold layer data models.
• Optimize cluster utilization and processing performance.
• Build reusable frameworks and accelerate data ingestion capabilities.
• Support real-time and batch data processing requirements.
• Collaborate with data analysts, architects, and business users.