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Lead Data Engineer - Python/Azure Databricks

Avisoft
8 - 12 Years
Others

Posted on: 30/07/2026

Job Description

Experience: 10+ Years

Location: Kochi / Coimbatore / Chennai / Mumbai / Pune

LinkedIn Profile: Mandatory

About the Role:

We are looking for an experienced Lead Data Engineer to design, develop, and support enterprise-grade data platforms and pipelines. The ideal candidate should have strong expertise in Azure Data Engineering, Databricks/Microsoft Fabric, PySpark, SQL, data migration, and modern data architecture, along with hands-on experience in production and L2/L3 support.

Key Responsibilities:

- Design and develop scalable enterprise data pipelines using Azure data technologies.

- Build and optimize data solutions using Azure Data Factory, Azure Databricks/Microsoft Fabric, PySpark, and Delta Lake.

- Implement Medallion Architecture and modern data engineering best practices.

- Lead data migration initiatives and ensure data quality, reliability, and performance.

- Develop effective data models and optimize complex SQL queries and data workloads.

- Perform performance tuning, job monitoring, troubleshooting, and failure recovery.

- Provide L2/L3 production support, including RCA, incident resolution, and job failure troubleshooting.

- Participate in on-call support and Hypercare activities during critical releases and migrations.

- Ensure data governance, security, documentation, and compliance standards.

- Mentor data engineers and provide technical guidance across projects.

Mandatory Skills:

- Advanced SQL

- Azure Data Factory (ADF)

- Azure Databricks / Microsoft Fabric

- PySpark

- Delta Lake

- Medallion Architecture

- Data Migration

- Data Modeling

- Production Support / L2-L3 Support

- RCA & Job Failure Troubleshooting

- On-call Support & Hypercare

Qualification:

- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.

Ideal Candidate:

- 10+ years of experience in Data Engineering with strong Azure expertise.

- Proven experience handling enterprise-scale data platforms and production environments.

- Strong problem-solving, troubleshooting, communication, and mentoring skills.

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