Azure Databricks Job Description (Example)

Title: Azure Databricks Engineer

Department: Data Engineering/Data Science

Reports To: Director of Data Engineering/Data Science

Summary:

We seek a skilled Azure Databricks Engineer to design, implement, and maintain scalable data processing pipelines and machine learning workflows using Azure Databricks. The ideal candidate will have a strong understanding of big data technologies, experience with PySpark or Scala, and a proven ability to deliver high-quality solutions in a cloud environment.

Responsibilities:

• Design, develop, and maintain scalable data processing pipelines using Azure Databricks and PySpark/Scala.
• Implement and optimize machine learning workflows using Databricks’ integrated machine learning capabilities.
• Collaborate with data scientists, engineers, and other stakeholders to gather requirements and deliver solutions.
• Monitor and troubleshoot performance issues to ensure optimal system performance.
• Stay up-to-date with the latest Azure Databricks features and best practices.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a related field.
• Strong experience with Azure Databricks, PySpark, or Scala.
• Experience with big data technologies like Hadoop, Spark, or Kafka is a plus.
• Experience with cloud platforms such as Azure, AWS, or GCP is a plus.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• Work on cutting-edge projects with a talented team.

Note: This is just an example. The specific responsibilities and qualifications for an Azure Databricks job may vary depending on the company and the particular role.