Walk-in || Senior Data Engineer (Azure Databricks)

Role & responsibilities

We are looking for Senior Data Engineer (Azure Databricks) professionals for an immediate opportunity.

Job Details:

• Role: Senior Data Engineer Azure Databricks
• Total Experience: 9–12 Years
• Relevant Experience: 6+ Years
• Mandatory: 6+ Years of hands-on Databricks experience
• Notice Period: Immediate Joiners / Can join within 1 week
• Work Location: Bangalore
• Work Mode: 5 Days Work from Office

We have scheduled a face-to-face hiring drive on Wednesday & Thursday, 23rd & 24th September 2026, from 10:00 AM to 4:30 PM for the below Senior Data Engineer (Azure Databricks) - Individual Contributor.

Required Skills:

• 6+ years of experience in Databricks – Mandatory
• Strong PySpark & Python development
• Azure: ADF, ADLS, Azure Blob Storage, Key Vault
• Data ingestion, connectors & integration frameworks
• Strong SQL & Performance Tuning
• Scalable data pipeline development
• Data Architecture & DWH concepts – Primary
• Strong communication & stakeholder management
• Experience collaborating with onsite teams and understanding E2E requirements

Key Responsibilities:

• Design and architect large-scale data infrastructure and Data Lakehouse pipelines
• Convert business requirements into secure and automated ETL/ELT solutions
• Optimize Databricks and Data Lake storage/compute costs
• Troubleshoot production pipeline failures and data quality issues
• Drive data governance, security and pipeline reliability best practices
• Mentor and coordinate with global teams

Please share the below details along with your updated resume:

• Total Experience:
• Relevant Databricks Experience:
• Relevant Azure Experience:
• PySpark/Python Experience:
• Data Architecture/DWH Experience:
• Current CTC:
• Expected CTC:
• Notice Period:
• Current Location:
• Alternate Ph Number:
• Preferred Location:
• Can join within 1 week: Yes/No
• Comfortable with 5 Days WFO: Yes/No