Summary from listing
The Big Data Data Modeller will translate business needs into data models for big-data use cases and data lakes, collaborate with development teams on data strategies, pipelines, and data quality, and create logical, conceptual, and physical models. The role also includes reverse engineering databases and SQL scripts, validating data objects, addressing integration challenges, and writing technical documentation. Required qualifications include at least two years of direct modelling experience on commercial projects, hands-on SQL and non-SQL modelling, data engineering and pipeline experience, data governance and virtualization knowledge, Linux and public-cloud experience, and a technical bachelor's or master's degree.
