understanding of ETL and data modelling. • Ability to ingest data into AWS S3, perform ETL into RDS or Redshift data modelling, data structures, databases, and ETL processes. • An in-depth understanding of large-scale
The purpose of the ETL Developer is to develop extraction, translation and loading jobs which will populate Outputs -Design, development and implementation of ETL pipelines. -Debug and correct programs to ensure Warehousing experience. SQL/PLSQL knowledge essential. ETL Tool knowledge (DataStage 8.2 and above). Data Modelling
a data warehouse for the business, including all ETL processes required to ensure consistency and accuracy understanding of data warehousing, data modelling and ETL processes. Sound understanding of project management
SQL, DAX Extraction, Transformation and Loading (ETL) (Azure data factory) Data Warehouse / Solution Design SQL, DAX, Azure data factory, agile methodology, ETL
a data warehouse for the business, including all ETL processes required to ensure consistency and accuracy understanding of data warehousing, data modelling and ETL processes. Sound understanding of project management
SQL, DAX Extraction, Transformation and Loading (ETL) (Azure data factory) Data Warehouse / Solution Design SQL, DAX, Azure data factory, agile methodology, ETL
languages such as Python and Big Data pipelines such as ETL, SQL, Spark etc. Ability to develop APIs to trigger (advantageous) ESSENTIAL SKILLS: Expertise in API and ETL development Git development branching strategies
and maintain data warehousing tools for automated ETL, integration, and reporting. Lead ERP/CRM implementation
than 3 years in a data environment Experience with ETL processes and SDLC Database system and cloud data
systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework. Familiarity