About the role
Minimum 6 years’ experience within Data Engineering with minimum 2 years in a similar role
Experience with Databrick, DBT, Python and Pyspark is preferrable but not mandatory
Comfortable working within conceptual, logical and physical data model following Data Vault 2.0 and Kimball data modelling methodologies
Strong experience working in Data Warehousing and Data Analytics projects including data acquisition, data transformation, and data migration projects
Strong experience in SQL and Redshift
Experience in developing and optimising data pipelines using control-m and sql
Experience in data migration, building, enhancing and maintaining cloud data warehousing
Experience in performance tuning and optimising databases and SQL queries for analysis and reporting
Ability to rapidly acquire an understanding of complex business problems/requirements to develop solutions and designs, regardless of existing areas of expertise or specialisation
Strong skills and experience in cloud environments, especially AWS
Experience supporting high availability production systems is desirable