AZure Python SQL Factory (ADF): For orchestrating and automating data movement and transformation.
Databricks/Apache Spark: For big data processing and large-scale ETL/ELT.
Synapse Analytics: For data warehousing and analytics.
Data Lake Storage (ADLS Gen2): For scalable and secure data storage.
Azure SQL Database/Cosmos DB: For relational and NoSQL data storage.
Programming/Scripting:
SQL: Essential for querying and data manipulation.
Python/PySpark/Scala: Common languages for data processing and scripting.
Data Concepts: Strong understanding of data modeling schema design and ETL/ELT principles.
DevOps: Experience with CI/CD version control (Git) and infrastructure as code (e.g. ARM Templates Terraform) is often required.
AZure Python SQL Factory (ADF): For orchestrating and automating data movement and transformation. Databricks/Apache Spark: For big data processing and large-scale ETL/ELT. Synapse Analytics: For data warehousing and analytics. Data Lake Storage (ADLS Gen2): For scalable and secure data storage. Az...
AZure Python SQL Factory (ADF): For orchestrating and automating data movement and transformation.
Databricks/Apache Spark: For big data processing and large-scale ETL/ELT.
Synapse Analytics: For data warehousing and analytics.
Data Lake Storage (ADLS Gen2): For scalable and secure data storage.
Azure SQL Database/Cosmos DB: For relational and NoSQL data storage.
Programming/Scripting:
SQL: Essential for querying and data manipulation.
Python/PySpark/Scala: Common languages for data processing and scripting.
Data Concepts: Strong understanding of data modeling schema design and ETL/ELT principles.
DevOps: Experience with CI/CD version control (Git) and infrastructure as code (e.g. ARM Templates Terraform) is often required.
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