Technical Requirements for the role:
– Strong experience in cloud-based as well as on-premises data analytics technologies and domains.
– Strong experience in creating data analytics solutions in cloud-based, on-premises and hybrid domains.
– Strong Azure experience is essential.
– In addition to, or as an alternative, AWS or Google Cloud Platform experience is advantageous.
– Databricks and/or Snowflake environments are advantageous.
– As technical consultants, we require coverage of both conventional business intelligence, as well as modern data analytics.
Conventional Business Intelligence – More than four years of experience In
– Data integration, ETL and ELT.
– Data storage in the appropriate structures (e.g. databases) as well as the applicable normalisation and data modelling.
– Business modelling (i.e. semantic models) of data and Reporting.
Modern data analytics – More than two years experience in more than one of the following.
– Data storage in the appropriate options (e.g. database services, data lakes, etc) as well as the appropriate storage structures (relational, semi-structured, unstructured).
– Applicable normalisation and data modelling across all modern structures.
– Business modelling of data.
– Interactive visualisations.
– Machine learning and advanced analytics.
– IOT.
– End-to-end flow of data through a modern data ecosystem from small and/or batch, through to big and/or real-time.
– An understanding of, and experience in data warehousing in the modern sense (including Lakehouse).