DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering

Designing and implementing data processing systems using Microsoft Fabric, Azure Data Analytics, Databricks and other distributed frameworks (ex Hadoop, Spark, Snowflake, Airflow) Writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data Designing data pipelines: Snowflake Data Cloud uses data pipelines to ingest data into its system from sources like databases, cloud storage, or streaming platforms A Snowflake Data Engineer designs, builds, and fine-tunes these pipelines to make sure that all data is loaded into Snowflake correctly Designing and implementing data processing systems using Microsoft Fabric, Azure Data Analytics, Databricks and other distributed frameworks (ex Hadoop, Spark, Snowflake, Airflow) Writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data Designing data pipelines: Snowflake Data Cloud uses data pipelines to ingest data into its system from sources like databases, cloud storage, or streaming platforms A Snowflake Data Engineer designs, builds, and fine-tunes these pipelines to make sure that all data is loaded into Snowflake correctly