architecting and managing the AWS Data Lake and Warehouse to automating processes and ensuring data quality
Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge of relational and non-relational Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge of relational and non-relational Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge of relational and non-relational
such as Supply Chain, Customer Service, Finance, Warehouse Logistics, HR Payroll, Smart Worker, and Business
such as Supply Chain, Customer Service, Finance, Warehouse Logistics, HR Payroll, Smart Worker, and Business
Responsible for developing and managing a data warehouse for the business, including all ETL processes
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS
experience Advanced SQL & database and data warehouse management Python or R & AI Frameworks Experience
plus). Azure Data Lake, Data Factory, SQL Data Warehouse (a plus). Predictive data modelling (a plus).
Programming SQL PowerBI - SQL scripting and Data Warehouse modelling techniques and methodologies - Machine
technology