Data Engineering Manager

Job description

• Hands-on Experience in Azure Cloud data engineering with Azure Databricks, ADLS Gen2 • Hands-on Expert level in Databricks • Delta tables • \\*DBT Tool - Very Mandatory Must have 1 to 2 Years Hands on Experience • DLT ( delta live tables ) • Autoloader • Unity catalog • Hands-on Expert level in PySpark • Should have handled multiple data sources and source systems ( ERP and CRM data ) • Source data - SQL, Json, API Sources, streaming data, etc. • Structured and semi-strucutred data handling - Parquet, json, sql, avro, etc. • Hands-on experience in Designing Cloud data engineering solution in Medallion Architecture • Hands-on experience in Any one Data orchestration tool such as Fivetran, Airflow, ADF. • DBT is a Mandatory