We are looking for a skilled Data Engineer with solid hands-on experience in Azure and Databricks to build scalable data pipelines and optimize data workflows. The ideal candidate will be responsible for designing ETL/ELT processes, transforming and enriching data, handling structured and unstructured datasets, and supporting business analytics through efficient data modeling and performance tuning. MUST HAVE AZURE CERTIFICATION* Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks
Extract, transform, and load data from multiple data sources (structured & unstructured)
Clean, validate, and enrich data at various processing stages
Develop and optimize data models (dimensional modeling, star schema, etc.)
Monitor, troubleshoot, and improve performance of data pipelines and SQL queries
Ensure data quality, consistency, and governance standards
Collaborate with BI, analytics,
and business stakeholders to understand requirements
Implement best practices for performance tuning and cost optimization in Azure Required Skills & Qualifications Robust hands-on experience with Azure Databricks
Good understanding of Azure Data Lake, Azure Data Factory, and related Azure services