ed and unstructured datasets, and supporting business analytics through efficient data modeling and performance tuning.

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

Strong hands-on experience with Azure Databricks
Good understanding of Azure Data Lake, Azure Data Factory, and related Azure services
Strong SQL skills (complex joins, aggregations, query optimization)
Experience with PySpark / Apache Spark
Experience building and maintaining ETL/ELT workflows
Knowledge of data modeling concepts
Experience handling unstructured textual data
Strong analytical and problem-solving skills

Good to Have

Skills: lake,data bricks,azure,data modeling

Azure Data Engineer_6+ years