SQL: You should have a strong proficiency in SQL, including the ability to write complex queries, optimize database performance, and work with relational databases.
Databricks: You must be experienced in using Databricks, which is a popular data engineering and analytics platform. This includes data manipulation, transformation, and ETL processes using Databricks.
Cosmos DB: You need to have knowledge and experience with Cosmos DB, which is a globally distributed, multi-model database service provided by Microsoft Azure.
Desired Skills:
Azure: Familiarity with Microsoft Azure, including its various services and tools, is desired. Azure is a cloud computing platform, and experience with it can be valuable for integrating data engineering solutions with cloud services.
Linux: Proficiency in Linux can be helpful, especially if you're working with open-source data tools or deploying solutions in a Linux environment.
Supply Chain Knowledge: Having domain-specific knowledge in supply chain management is a plus. This knowledge can help you better understand the data and requirements specific to the industry.