Working Student Data Engineering - Samsung Group
Current1) Organizing and drafting Big Data ELT/ELT pipelines for marketing and advertising big data2) Dealing with deployment and production of data to AWS. Regular use of S3 Buckets, EC2 Instances, IAM, Amazon MWA Airflow and more3) Building and regular management of virtual data warehouses with Snowflake4) With Snowflake, conducting routine data warehousing and engineering tasks such as managing staging data availability, user/developer roles & accessibility, data security, snow pipes and more5) Routine data quality and information analysis with Tableau/Power BI dashboards6) Using Airflow to develop pipelines for scheduled end-to-end REST API and other data delivery7) Incorporating DBT models into Airflow pipelines for remote transformations on Snowflake data8) Fluent on working with raw, unstructured and structured data