Data Engineering-Azure-FTE

Job description

Area(s) of responsibility **Azure Data Engineer with Databricks and PySpark** **Job Description** **Years of experience 10 to 13 Years –** - Experience in Perform Design, Development & Deployment using Azure Services (Data Factory, Databricks, PySpark, SQL) - Develop and maintain scalable data pipelines and build new Data Source integrations to support increasing data volume and complexity. - Experience in creating Technical Specification Design, Application Interface Design. - Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Databricks) and PySpark - Develop batch processing and integration solutions and process Structured and Non-Structured Data - Demonstrated in-depth skills with Azure Databricks and PySpark, and SQL - Collaborate and engage with BI & analytics and the business team - Minimum 2 year of Project experience in Azure Databricks - Minimum 2 years of experience in ADF - Minimum 2 years of experience in PySpark