Azure Data Engineer

Epergne Solutions; Jaipur; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

A technology solutions company in Jaipur is seeking an experienced Azure Data Engineer to build scalable data solutions. The role requires strong skills in Python, PySpark, and Azure Databricks. Responsibilities include designing ETL pipelines and optimizing data workflows. Ideal candidates will have expertise in Delta Lake, Azure Data Lake Storage Gen2, and Git. This position offers an opportunity to innovate in a data-driven environment with a focus on performance optimization and production support.

Qualifications

• 5+ years of experience in data engineering.
• Strong hands-on experience in PySpark and Spark SQL.
• Knowledge of Delta Lake best practices.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Implement Delta Lake best practices.
• Support production deployments and monitor pipelines.

Skills

Python

PySpark

Azure Databricks

Spark SQL

Delta Lake architecture

Git

Azure Data Lake Storage Gen2

Tools

Azure Data Factory

Job description

Experience:- 5+ Years

We are looking for a highly skilled Azure Data Engineer for an engagement to build scalable, production-ready data solutions.

The ideal candidate will have strong hands-on experience with Python, PySpark, Azure Databricks, and Azure Data Factory, along with a solid understanding of modern data engineering best practices.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and Spark SQL

Build and optimize workloads on Azure Databricks (notebooks, job clusters, workflows)

Implement Delta Lake best practices (schema evolution, partitioning, performance tuning, merge strategies)

• Develop robust ingestion frameworks integrating with Azure Data Lake Storage Gen2 and Azure SQL
• Implement data validation, transformation logic, and quality control frameworks
• Ensure performance optimization and cost-efficient execution
• Support production deployments, monitor pipelines, and resolve incidents
• Maintain version control using Git and follow CI/CD best practices
• Collaborate with architects, analysts, and business stakeholders

Mandatory Skills

Strong hands-on experience in PySpark and Spark SQL

Proven experience in Spark performance tuning & optimization

Strong knowledge of Delta Lake architecture

• Experience working with Azure Data Lake Storage Gen2
• Git-based version control experience
• Production support and troubleshooting experience

Good to Have

Exposure to data governance, data security, and compliance frameworks

• Experience integrating data from SAP ERP systems
• Knowledge of Azure Data Factory (ADF)
• Understanding of DevOps and CI/CD pipelines