Architect and deploy scalable Databricks solutions on Azure.
• Develop and implement data pipelines, ETL processes, and machine learning workflows using Databricks and Azure services.
• Monitor Databricks performance and optimize configurations for efficiency and cost-effectiveness.
• Implement best practices for data storage, processing, and analysis to ensure optimal performance.
• Ensure Databricks environments comply with security standards and regulatory requirements.
• Implement and manage data encryption, access controls, and other security measures.
• Perform regular maintenance tasks, including updates, patches, and backups.
• Provide advanced technical support for Databricks-related issues and act as the escalation point for complex problems.
• Collaborate with data engineers, data scientists, and analysts to design and optimize data workflows.
• Work with IT and DevOps teams to integrate Databricks with other Azure services and tools.
• Develop and deliver training sessions for internal teams on Databricks best practices and recent features.
• Document architectures,



configurations, and procedures for knowledge sharing and future reference.

To be successful in this role, you should meet the following requirements:
• Strong analytical and problem-solving skills.
• Strong technical documentation capabilities.
• Agile framework and delivery lifecycle management.
• Team based development capabilities and ability to manage personal deliverables.
• Experience with multi-cloud environments and hybrid cloud strategies.
• Familiarity with DevOps practices and tools such as Azure DevOps, Jenkins, or GitHub Actions and Azure DevOps
• Databricks Certified Associate Developer or equivalent certification.
• Relevant Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect
• In-depth knowledge of Databricks architecture, Spark, and Delta Lake.
• Proficiency in managing and optimizing Databricks clusters and jobs.
• Experience with deploying

📌 Opening For Azure data engineer (Pune)
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📍 Pune