Description

Job Description

We are looking for experienced Azure Data Engineers with strong expertise in Azure Databricks, Azure Data Factory, and PySpark. The ideal candidate will be responsible for designing, developing, and maintaining scalable data engineering solutions on the Azure cloud platform.

Key Responsibilities

• Design and develop scalable data pipelines using Azure Data Factory and Azure Databricks.
• Develop efficient data transformation and processing solutions using PySpark.
• Work with ADLS for data storage and data management.
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Integrate data across multiple Azure services and enterprise applications.
• Develop and maintain solutions using Azure Synapse and Logic Apps as required.
• Troubleshoot performance, data quality, and pipeline-related issues.
• Follow best practices for data security, governance, monitoring, and optimization.
• Collaborate with business, data, and technology teams to deliver reliable data solutions.

Required Skills

• Strong hands-on experience with Azure Databricks.
• Strong experience in Azure Data Factory.
• Excellent programming and data-processing skills using PySpark and Python.
• Good understanding of ADLS and Azure data architecture.
• Experience with data integration, ETL/ELT, and data pipeline development.
• Good knowledge of SQL and relational/non-relational data sources.
• Experience with Azure Synapse and/or Logic Apps will be an added advantage.

Candidate Preference

• Candidates who can join immediately or within 30 days are preferred.
• Candidates should be open to opportunities across PAN India.
• Strong hands-on/project experience in the primary skills is essential

Key Skills

Education

Any Graduate