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Senior/Lead Data Engineer - PySpark/Azure Databricks

NetConnectGlobal
6 - 10 Years
rupee30-35 LPA
Multiple Locations

Posted on: 19/05/2026

Job Description

Description :


Senior Data Engineer(AI) / Lead Data Engineer(AI) for Leading MNC

A leading MNC is looking for highly skilled Data Engineering professionals with expertise in Databricks, PySpark, Spark Optimization, CI/CD, and AI/ML data workflows.

Location : Gurgaon

Employment Type : Permanent

Experience : 5+ Years

Key Skills :

- Python & PySpark

- Apache Spark & Spark Performance Optimization

- Databricks, Delta Lake & Distributed Data Processing

- GitLab CI/CD Pipelines & Automation

- Databricks REST APIs & SQL Optimization

- Scalable Data Platform Architecture

- Vector Search & Vector-Space Architectures

- AI/ML Workflows, LLMOps & RAG Pipelines

- Data Governance, Metadata & Data Quality

Key Responsibilities :


- Design and build scalable enterprise data platforms using Databricks, Spark, Delta Lake, and PySpark

- Develop and optimize large-scale distributed data pipelines and processing applications

- Perform Spark tuning, query optimization, and troubleshooting for performance improvements

- Build and maintain enterprise-grade CI/CD pipelines using GitLab and automation tools

- Work on Databricks automation, REST APIs, and deployment workflows

- Support advanced AI/ML initiatives including LLMOps, RAG pipelines, vector search, and model evaluation

- Implement data governance, security, metadata management, and quality standards

- Mentor junior engineers and drive engineering best practices across teams

Please share the following details along with your resume :

- Current CTC :

- Expected CTC :
- Experience :
- Notice Period :

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Functional Area

Data Engineering

Job Code

1637034

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