Azure Databricks And Pyspark SkillsRequired skill/JD Azure Databricks and Pyspark skills: Data ETL / Data EngineeringKey technology: ADF, Databricks, dbt, Azure Cloud ServicesSupporting technology: MS SQL Server ADW/DB, Python, Pyspark, DevOpsProven development experience in building complex data pipeline for lakehouse/data warehouses using Agile methodology.Experience: 9-10 years Skill proficiency rating and required years of experience mentioned in skill matrix table.Required skills - rating (scale 1-10) - work experience (years) - last used (year) - related projects/end customer namesADF - 9-10 - 9-10 yearsPyspark - 8 - 9-10 yearsAzure Databricks - 9 - 9-10 yearsDBT - 8 - 9-10 yearsAzure Cloud Services - 9-10 - 9-10 years