Azure Data Engineer

Epergne Solutions; Hyderabad; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Epergne Solutions is seeking an experienced Azure Data Engineer in Hyderabad, India, to build scalable data solutions. The ideal candidate will have over 5 years of experience and strong hands-on skills in Python, PySpark, Azure Databricks, and Azure Data Factory. Responsibilities include designing ETL pipelines, optimizing workloads on Azure, and implementing Delta Lake best practices. Knowledge of Azure Data Lake Storage is essential. This role also offers opportunities for collaboration and production support.

Qualifications

• 5+ years of experience in data engineering, particularly with Azure tools.
• Strong hands-on experience in PySpark and Spark SQL.
• Proven experience in Spark performance tuning & optimization.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize workloads on Azure Databricks.
• Implement Delta Lake best practices and ensure performance optimization.

Skills

PySpark

Spark SQL

Azure Databricks

Python

Azure Data Factory

Tools

Azure Data Lake Storage Gen2

Git

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