Azure Databricks Engineer

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.

Role & responsibilities

Preferred candidate profile