About Position:

We are looking for an experienced Azure Databricks Engineer to design, develop, and maintain scalable data engineering solutions on the Azure cloud platform. The role involves building robust ETL/ELT pipelines using Azure Databricks, PySpark, and SQL, integrating data from multiple sources, and ensuring high data quality, performance, and reliability. You will collaborate closely with business stakeholders, data architects, and engineering teams to deliver efficient, secure, and enterprise-grade data solutions for analytics and reporting purposes.

Role: Azure Databricks developer
Location: Hyderabad & Bangalore
Experience: 9 to 12 years
Job Type: Full Time Employment

What You'll Do:

Design, develop, and optimize scalable ETL/ELT data pipelines using Azure Databricks, PySpark, and SQL.
Build and maintain robust data ingestion frameworks to integrate structured and unstructured data from diverse enterprise sources.
Collaborate with business stakeholders, data architects, and cross-functional teams to translate requirements into reliable data solutions.




Ensure data quality, performance, security, and governance through monitoring, validation, and optimization of data workflows.
Support deployment, troubleshooting, and continuous improvement of cloud-based data engineering solutions on the Azure platform.

Expertise You'll Bring:

Strong experience in Azure Databricks, PySpark, and SQL for large-scale data processing and analytics.
Hands-on expertise in designing and implementing ETL/ELT pipelines and data integration solutions.
Proficiency in Azure Data Factory (ADF), Azure Storage, and other Azure data services.
Experience with data modeling, performance tuning, data quality, and optimization of big data workloads.
Good understanding of cloud data architecture, CI/CD practices, and data governance principles.
Robust problem-solving skills with the ability to collaborate effectively with business, analytics, and engineering teams.

Benefits:

Compet

📌 Azure Databricks Developer (Hyderabad)
🏢 Persistent Systems
📍 Hyderabad