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Senior Data Engineer - iConnect Suggestions project iConnect Suggestions is the inhouse data driven next-best-action solution for healthcare at a global scale. This solution is based on AWS and has been running for over four years with proven business impact. *The role* The (Senior) Data Engineer for the iConnect Suggestions project will maintain and implement the logic to update or create suggestions to pharma sales representatives based on business requirements. This will involve writing SQL and Python code to create generalized modules that are re-usable across a variety of countries and business settings. The project is implemented on AWS, so a good knowledge on cloud architectures, especially based on AWS, combined with experience working closely with agile software development teams are key. The key responsibilities include: * Identify the root causes of issues with existing data and suggestion generation pipelines and implement fixes (will require debugging in AWS Step Functions, Glue, Athena and Lambda). * Implement the data analysis steps needed to generate suggestions for pharma sales representatives within the framework of the project. * Implement the above in an agile development team. *Who we are looking for* * In-depth knowledge of SQL and Python, in particular pandas * Knowledge on AWS cloud technologies for data analysis, e.g., Glue, Athena and DynamoDB * Basic knowledge of Salesforce/Veeva would be a plus * Knowledge of agile implementation methods and common project tools (e.g. JIRA) * >5 years data engineering and global or regional project experience
AWS,Python,SQL
UST
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