Azure Databricks Job Description


    Azure Databricks Job Description

Azure Databricks Job Description (Example)

Title: Azure Databricks Engineer

Department: Data Engineering/Data Science

Reports To: Director of Data Engineering/Data Science


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.


  • 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.


  • 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.


  • 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.

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