Azure Databrick Engineer

Overall 9+ years of experience as developer with strong hands‑on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns Extract, transform and load from sources system to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Pyspark and Azure Data Lake Storage (ADLS), and Azure DevOps. Data ingestion to one or more Azure services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks Hands on experience on developing SQL scripts for automation Proficiency in Python, SQL, and data transformation logic.

Experience building CI/CD pipelines for data engineering workloads Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks Excellent interpersonal, verbal, and written communication skills