 |
Emirates connects the world to, and through, our global hub in Dubai. We operate modern, efficient and comfortable aircraft, and our culturally diverse workforce delivers award-winning services to our customers across six continents every day. |
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.
Qualifications & Experience
To be considered for the role, you must meet the below requirements:
Qualifications:
In a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
Experience:
2+ years Data Engineering (Fewer years’ experience will be considered for Masters degree holders)
Minimum 2+ 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)
Experience with batch or real-time data ingestion; experience with coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion
Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling nice-to-have
Understanding on integration with source systems; able to load operational systems’ data into a single data platform using data integration tools
Experience scheduling jobs that can be monitored efficiently and ensure data quality
Ability to conduct unit testing
Strong SQL querying skills required
Airline industry experience a nice-to-have
Knowledge/Skills:
Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred
Operates with a “You Code It, You Own It” mindset (i.e. supports the products they build)
Demonstrated problem-solver; able to design and document solutions independently
Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues
Able to deliver solutions (and associated value) iteratively
Is accountable and displays positive attitude
Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space
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.
Qualifications & Experience
To be considered for the role, you must meet the below requirements:
Qualifications:
In a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
Experience:
2+ years Data Engineering (Fewer years’ experience will be considered for Masters degree holders)
Minimum 2+ 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)
Experience with batch or real-time data ingestion; experience with coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion
Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling nice-to-have
Understanding on integration with source systems; able to load operational systems’ data into a single data platform using data integration tools
Experience scheduling jobs that can be monitored efficiently and ensure data quality
Ability to conduct unit testing
Strong SQL querying skills required
Airline industry experience a nice-to-have
Knowledge/Skills:
Strong ability to conduct data analysis (e.g. source system identification, data dictionary / metadata collection, data profiling, source-to-target mapping) is preferred
Operates with a “You Code It, You Own It” mindset (i.e. supports the products they build)
Demonstrated problem-solver; able to design and document solutions independently
Team player; able to collaborate with others to remove blockers, solve complex design problems and debug/resolve issues
Able to deliver solutions (and associated value) iteratively
Is accountable and displays positive attitude
Self-starter and has passion for exploring and learning new technologies, especially those in the Enterprise Data & Analytics space
