Data Engineer
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Job Description
Data Engineer responsible for database development and ETL processes at Parexel. Collaborating with R&D and IT Data team to ensure high-quality data management.
Responsibilities:
- Collaborating with the R&D function within Corp IT Data and Analytics team.
- Ensuring quality and performance standards are met.
- Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components.
- Advises database designers and other application development team members on the details of data structures and associated components.
- Develops and maintains specialist knowledge of database concepts, object and data modelling techniques and design principles.
- Analyzes data requirements to establish, modify or maintain object/data models.
- Designs, codes, tests, corrects and documents complex programs and scripts from agreed specifications.
- Takes part in reviews of own work and leads reviews of colleagues' work.
- Specifies user/system interfaces and translates logical designs into physical designs.
Requirements:
- 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.
Benefits:
- Professional development opportunities
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