Job Purpose
At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers ‘Fly Better’. Join the Emirates Group IT Team in Dubai. Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we're always at the forefront, pushing boundaries. We're on the lookout for exceptional IT professionals to fortify our position as leaders in the industry. Embark on a journey with the world’s largest international airline and become a vital part of our cutting-edge information and technology team as Senior Data Engineer - Quality & Automation. The Senior Data Quality & Automation 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 hands-on contributing to quality practices along with designing and implementing data quality and automation platforms. They will also provide support to technical analytics solutions and products that support Emirates Airlines and the Emirates Group businesses.
Job Outline
- Work closely with product owners, analysts, software engineers, and architects to understand the technical landscape and context of deliveries to refine complex functional and non-functional requirements and translate it into fit-for-purpose acceptance tests.
- Build test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.
- Design and build automated tests/jobs of moderate to high scope and complexity across all stages of the data pipeline while demonstrating good coding & design practices and adhering to published coding standards and guidelines.
- Conduct data analysis activities such as source system analysis, data modeling, data dictionary collection, data profiling, and source-to-target mapping ensuring delivery of business needs.
- Support in updating data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines, and principles.
Qualifications & Experience
- Qualification: Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering.
- Experience:
- Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
- 2+ years of Data Engineering experience with a focus on quality & automation
- Minimum 2+ years of testing, automation, and support experience in analytics applications such as Data Lake and Data Warehouse (preferably using the Big Data stack and Microsoft Azure cloud infrastructure)
Knowledge/Skills
- Ability to drive the quality of data assets independently
- Strong ability to conduct data analysis
- Team player, able to collaborate with others to remove blockers, solve complex design problems, and debug/resolve issues
- Self-starter and has a passion for exploring and learning new technologies
Technology Domain Key Technologies/Tools
- Big Data & distributed processing: Spark, Hadoop, Airflow, Azure Data Factory
- Data Analysis, Modelling and Reporting: Snowflake, SQL, MicroStrategy, Power BI
- Cloud Technologies: Microsoft Azure
- CI/CD: GIT, Jenkins, Azure DevOps, Kubernetes, Docker
- Languages: Scala, Python
Salary & Benefits
Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what’s it like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.
