Design and develop ETL mappings and workflows using Qlik or Informatica.
Develop technical specifications for data loading rules.
Mentor and provide technical guidance for Software Engineers.
Design, implement, and architect software products.
Design, implement, and architect product extensions for customer specific requirements.
Adhere to and produce artifacts (technical specifications, architectural specifications, data models, installation and qualification guides, and release notes) for the software development process.
Support technical consulting activities to clients in the pharmaceutical industry.
Design and support clinical trials information sharing solutions.
Provide application support for existing products.
Help with release management, using versioning tools such as SVN, and executing live deployments.
Proven relevant experience in systems integration and implementation, or software development, or a related discipline.
Demonstrated ability to liaise with multiple stakeholders.
Experience with Microsoft Azure components in particular, Azure SQL, Azure Analysis Services, Synapse.
Experience implementing ETL solutions, particularly utilizing Qlik Replicate and Compose.
Strong Database Development Skills, particularly implementing SQL solutions in Azure SQL, Synapse or Databricks. environments. Good experience with large datasets.
Experience improving Data Quality in Data Warehouses, particularly utilizing Informatica Data Quality.
Experience testing ETL solutions, particularly utilizing Informatica DVO product.
Experience using Enterprise Architecture modeling tools, frameworks and methodologies such as TOGAF, SPARX EA, UML, BPMN, ArchiMate etc.
Experience Designing Data Warehouses, applying Kimball’s Dimensional Modeling Techniques, Architecting ETL systems.
Experience working in Agile development software methodology, authoring technical documents / specifications.
Experience debugging complex software systems.
Significant experience implementing data-driven systems with large-scale relational or object-oriented databases.
Ability to work in a high pressure, result/deadline-oriented environment.