Azure Databricks & Integration Engineer

Azure Databricks & Integration Engineer

Experience: 6-10 Years
Locations: Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR/Delhi

Interview Mode: Virtual Interview
Interview Date: 8th August 2026 (Saturday)

Job Description

We are looking for a skilled Azure Databricks & Integration Engineer with experience in designing, developing, and supporting enterprise-scale data integration and analytics solutions on the Azure platform. The ideal candidate should have expertise in Azure Databricks, Azure Data Factory, ETL/ELT processes, and cloud-based data engineering solutions.

Key Responsibilities

• Design and develop scalable data pipelines using Azure Databricks and Azure integration services.
• Build and optimize ETL/ELT solutions for ingesting, transforming, and processing large datasets.
• Develop data integration workflows using Azure Data Factory (ADF) and related Azure services.
• Implement data processing solutions using PySpark, Spark SQL, and Databricks.
• Work closely with architects, business stakeholders, and data teams to deliver data-driven solutions.
• Ensure data quality, performance, security, and governance standards.
• Troubleshoot and optimize existing data platforms and integration processes.
• Support CI/CD implementation and cloud deployment best practices.

Required Skills

• 6-10 years of experience in Data Engineering and Integration.
• Strong hands-on experience with Azure Databricks.
• Expertise in Azure Data Factory (ADF) and data integration solutions.
• Strong knowledge of PySpark, Spark SQL, Python, and SQL.
• Experience with ETL/ELT development and data transformation processes.
• Knowledge of Azure Data Lake, Azure Storage, and cloud-native architectures.
• Experience with DevOps, CI/CD pipelines, and Git-based version control.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with Delta Lake and Databricks Lakehouse architecture.
• Exposure to Azure Synapse Analytics.
• Knowledge of streaming technologies such as Kafka and Event Hubs.
• Experience working in large-scale enterprise data environments.

If you are interested in this opportunity and available to attend the virtual interview on 8th August, kindly apply at the earliest.

Post receiving your application, I will connect with you for data collection and discuss the further steps in the hiring process