Job Description
The Senior Data Engineer is a fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space. The role involves the design, development, testing, implementation, support and maintenance of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses.
As a Senior Data Engineer you will
- Lead technical design and build for small to medium sized solutions in a team. Translate functional and non-functional data and analytics requirements into fit for purpose technical design.Ensure solution performance, business edge cases and security related issues are addressed while developing software.
- Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.
- Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles.Conduct code review for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.
- Operate with a data-driven mindset.Help translate data and analytics requirements into data solutions based on the approved technical designs.Assist with data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business needs.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Work with senior and lead data engineers in the technical design process by contributing in the analysis of data application, data integration, large data storage or data pipeline requirements.
- Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.
- Carry out unit testing independently.Troubleshoot issues, and fix defects that are of moderate to high complexity.
- Shadow senior and lead data engineers on design and architecture components, and collaborate with members of the cross-functional team to identify areas of inefficiency and propose solutions.
- Adhere to published coding standards, guidelines and best practices and contribute to Data Engineering Playbooks and other data technology blueprints.
