Data Engineer

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Our Healthcare client are currently looking for a Data Engineer to join an existing team for a growing data requirement. Summary of the work Current scheduling of dataset migration has been managed through delivery of the target operating model (TOM) rollout.Currently only 8 datasets in queue as part of TOM rollout. Plans to accelerate this rollout while still aligning with the future operating model and agile principles.Proposal and Benefits;The transition plan involves standing up a total of 6 change streams transitioning groups of datasets over to the existing team, with multiple tribes in each group. Key Skills and Experience Expert in building the most appropriate database and process design, developing code using industry standard data management tools, in this case Databricks (on AWS).Expertise in developing code using established coding languages, specifically Python and ANSI SQL. The ability to understand MS SQL and/or SAS DI Studio is a bonus as legacy products are written in these languages.Focus on user needs and developing solutions in close partnership with customers, using agile approach.Build data products that are fully automated, can be re-used, extended and deployed as "production quality" servicesSuitable experience in the use of the followingtoolsets which are key to successfully management of the Buyers outcomes: JiraConfluence Data Engineer, Data Analysis, Data Architecture, Data Scientist, ANSI SQL, MS SQL, Database Design, Process Design, Databricks, AWS, Python, SAS DI Studio, Jira, Confluence, TOM, Target Operating Models, Agile, Scrum, Healthcare, Government, Public Sector