About Position:

We are looking for an Azure Data Engineer with 4 to 8 years of experience and robust expertise in Azure Databricks, ETL, and PySpark. The candidate will be responsible for designing and building scalable, high-performance data solutions on Azure to support analytics and business use cases. The ideal candidate will collaborate with cross-functional teams to develop reliable data pipelines and ensure high standards of performance, data quality, security, and scalability across the Azure ecosystem.
Role: Azure Data Engineer
Location: Bangalore, Pune & Chennai
Experience: 4 to 8 Years
Job Type: Full Time Employment

What You'll Do:
Design, develop, and optimize scalable data pipelines using Azure Databricks and PySpark
Build and maintain robust ETL/ELT workflows for batch and large-scale data processing
Develop reusable Databricks notebooks and PySpark components for data ingestion, transformation, and validation
Integrate data from multiple structured and unstructured sources into the Azure data platform




Design and implement Delta Lake and medallion architecture for reliable and productive data processing
Orchestrate and monitor data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and related Azure services
Implement data quality, governance, security, monitoring, and performance-tuning mechanisms
Collaborate with business, analytics, and engineering teams to translate requirements into production-ready data solutions
Troubleshoot and resolve ETL pipeline, Databricks, PySpark, and production issues

Expertise You'll Bring:
4 to 8 years of experience in Data Engineering
Strong hands-on experience with Azure Databricks, Apache Spark, PySpark, and Delta Lake
Strong experience in designing, developing, and optimizing ETL/ELT pipelines
Valuable proficiency in SQL, data transformation, and query optimization
Experience with Azure services such as Data Factory (ADF), Data Lake Storage (ADLS), and Synaps

📌 Azure Data Engineer Thiruvananthapuram (India)
🏢 Persistent Systems
📍 India