
Azure Databricks Engineer
2 days ago
Location: Bangalore
- Daily schedule and OT estimate: 9 hours
- Shift time: EMEA/IST/EST
- Equipment or software required: Supplier
- Workspace type: Onsite
- Experience: 3-6 years
Job Title: Support Engineer Azure Databricks
Role Overview:
We are looking for a highly skilled Support Engineer to provide technical assistance for Azure Databricks, ensuring customers can efficiently manage and optimize their big data and analytics solutions. This role requires problem-solving expertise, deep technical knowledge, and a strong commitment to delivering exceptional customer experiences.
Key Responsibilities:
• Troubleshoot and resolve technical issues related to Azure Databricks and its associated big data services.
• Provide performance tuning, configuration guidance, and issue resolution for Spark, Data Lake, and cloud streaming technologies.
• Collaborate with internal teams to diagnose and address complex technical challenges.
• Escalate critical issues and advocate for product improvements based on customer feedback.
• Stay current with big data technologies, open-source ecosystems, and cloud computing advancements.
• Educate users on best practices for data engineering and analytics workflows.
Required Qualifications:
• 3+ years of experience in technical support, consulting, or IT-related fields, OR
• Bachelor's degree in Computer Science, IT, or a related discipline, plus 1+ year of relevant technical experience.
• Hands-on expertise in big data and analytics platforms, including:
o Azure Databricks, Azure Data Factory
o Spark, Azure data lake storage, Delta tables
o Cloud streaming technologies
• Proficiency in Python, Scala, or R for data engineering and debugging.
• Familiarity with Linux and Open Source Ecosystems (Apache, etc.).
• Strong experience in technical/customer support, consulting, or software engineering.
Preferred Skills:
• Foundational knowledge of Azure and Azure Databricks for managing workloads.
• Understanding of networking concepts, including:
o Testing connectivity, DNS resolution, Virtual Networks, Peering, and Private Endpoints.
• Strong communication and collaboration skills for engaging with customers and cross-functional teams.Role & responsibilities
Preferred candidate profile
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