Databricks Data Engineer - job 1 of 2

Job Summary

A company is looking for a Data Engineer.

Key Responsibilities

• Support data modernization efforts by enhancing report conversion and data pipeline efficiency
• Manage and optimize Databricks clusters and job scheduling
• Ensure data integrity and accessibility across the organization

Required Qualifications

• 3+ years of hands-on experience with Databricks and cluster management
• 5+ years of experience in PySpark or Scala for data engineering tasks
• 5+ years of experience building efficient ETL pipelines using Azure Data Factory or similar
• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field
• Relevant industry certifications in Databricks or Azure Cloud