Data Engineer With Java

Mandatory Skills:
Java Spring Boot – 4
Python – 4
ADF (Azure Data Factory) – 5
Azure Functions – 4
Scala Spark – 5
Databricks – 5
Snowflake – 3
SQL – 3
Detailed Requirements:
Must have very strong (Expert Level – 5) experience in Scala Spark and Databricks with solid exposure to cluster management and data transformations in Azure Cloud.
Must have strong experience with orchestration tools, especially Azure Data Factory (ADF), to extract data from on-prem applications and integration services.
Must have good experience in Python scripting and Snowflake (or alternate platforms like SQL/Teradata) for data loading.
Strong knowledge of data transformation, parsing, and loading into Snowflake for downstream analytics consumption.
Good knowledge of Java Spring Boot for API customization and development of new APIs.