Job Purpose:

The role involves the design, development, implementation and maintenance of analytical solutions and products that support the Emirates Group businesses, using Big Data technologies and cloud-based data lake and data warehouse solutions.
Translate functional and non-functional data and analytics requirements into fit for purpose technical design.
Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles.
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.
Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.
Troubleshoot issues, and fix defects that are of moderate to high complexity. ·

Degree or (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
Minimum 8+ years of development, testing and support experience in the analytic applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure).

Job Purpose:

The role involves the design, development, implementation and maintenance of analytical solutions and products that support the Emirates Group businesses, using Big Data technologies and cloud-based data lake and data warehouse solutions.
Translate functional and non-functional data and analytics requirements into fit for purpose technical design.
Complete data engineering coding tasks on problems of moderate to high scope and complexity. Demonstrate good coding principles.
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.
Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.
Troubleshoot issues, and fix defects that are of moderate to high complexity. ·

Degree or (12+3 or equivalent) in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
Minimum 8+ years of development, testing and support experience in the analytic applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure).