Azure DataBricks_5 years

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. *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 - 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 - Experience with Delta Lake - CI/CD experience for data pipelines - Knowledge of data governance and security best practices - Exposure to cloud data warehousing solutions