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About the Role
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
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
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