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
- Robust 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

📌 Walk-in || Senior Data Engineer (Azure Databricks) (Bengaluru)
🏢 Coventine Digital
📍 Bengaluru