Databricks Data Engineer

A company is looking for a Databricks Data Engineer to join their data engineering and analytics team.

Key Responsibilities

Design and develop scalable data pipelines using Apache Spark on Databricks

Implement and maintain ETL / ELT workflows for both structured and unstructured data

Optimize Spark jobs for performance, scalability, and cost-efficiency

Required Qualifications

8+ years of experience in data engineering, including ETL / ELT development

5+ years of experience designing and optimizing data pipelines on Apache Spark / Databricks

Proven experience with Azure Data Factory and Azure Data Lake

Expertise in Python, R, and SQL for data processing and analysis

Hands-on experience with CI / CD automation and DevOps tools