About Position:

We are seeking an experienced Azure Data Engineer with robust expertise in Azure Data Factory, SQL, MySQL, Oracle, ADLS Gen2, and Power BI. The ideal candidate will be responsible for designing, developing, and supporting enterprise-scale data pipelines and cloud-based data integration solutions. You will play a critical role in enabling analytics, reporting, and business intelligence initiatives through scalable, secure, and high-performance data platforms.

• Role: Azure Data Engineer - Azure Data Platform
• Location: All Persistent Locations
• Experience: 6 to 12 Years
• Job Type: Full Time Employment

What You'll Do:

• Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).
• Build and manage ADF workflows including Lookup Activities, Copy Activities, Triggers, and Scheduling.
• Develop robust data ingestion frameworks to extract and load data from MySQL and Oracle databases into ADLS Gen2.
• Process and store large-scale datasets in Parquet format to support analytics and reporting workloads.




• Collaborate with business users, analytics teams, and reporting teams to support Power BI dashboards and enterprise reporting requirements.
• Monitor, troubleshoot, and optimize production data pipelines to ensure reliability, scalability, and performance.
• Develop and implement data integration, transformation, validation, and reconciliation processes.
• Ensure adherence to data quality, governance, security, and compliance standards.
• Perform root cause analysis and resolve production issues impacting data availability and reporting.
• Work closely with architects, stakeholders, and engineering teams to deliver scalable Azure-based data solutions.
• Support platform enhancements, automation initiatives, and continuous improvement efforts.
• Participate in deployment, release management, and operational support activities.

Expertise You'll Bring:

• 6-12 years of experience in Data Engineering and Data Integration proje

📌 Azure Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune