We are looking for an experienced Azure Data Engineer with 6 to 10 years of experience in designing, developing, and maintaining enterprise-scale data solutions on Microsoft Azure. The ideal candidate should have solid expertise in Azure data services, ETL/ELT development, data warehousing, big data technologies, and cloud-based data engineering practices.
Preferred candidate profile
Must Have Skills
Azure Data Factory (ADF)
Azure Databricks
Azure Data Lake Storage (ADLS Gen2)
Azure Synapse Analytics
Azure SQL Database
PySpark
Python
SQL
Azure DevOps / CI-CD
Data Modeling
Power BI (Positive to Have)
Delta Lake
Git Version Control
Roles & Responsibilities
Design, develop, and implement scalable data pipelines using Azure Data Factory and Databricks.
Build and optimize ETL/ELT processes for structured and unstructured data.
Develop data ingestion frameworks from multiple source systems into Azure Data Lake.
Create and maintain data models, data warehouses, and data marts.
Work with business stakeholders to understand data requirements and translate them into technical solutions.
Optimize Spark jobs and SQL queries for performance and scalability.
Implement data quality, governance, security, and monitoring practices.
Collaborate with Data Scientists, Architects, and BI teams for end-to-end data solutions.
Automate deployment processes using Azure DevOps and CI/CD pipelines.
Troubleshoot production issues and provide timely resolutions.
Ensure compliance with security and governance standards.