Azure Data Engineer_7+ years (Hyderabad)

We are looking for a skilled Data Engineer with strong 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. 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 Robust analytical and problem-solving skills Good to Have Experience with Delta Lake CI/CD experience for data pipelines Knowledge of data governance and security best practices Exposure to cloud data warehousing solutions Skills: data bricks,azure,lake,data modeling We are looking for a skilled Data Engineer with strong 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. 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 Robust analytical and problem-solving skills Good to Have Experience with Delta Lake CI/CD experience for data pipelines Knowledge of data governance and security best practices Exposure to cloud data warehousing solutions Skills: data bricks,azure,lake,data modeling