The Principal Data Engineer at Emirates Airlines is a fully-participating member of a cross-functional team working autonomously on technology development and problem resolution in the Enterprise Data & Analytics space. Candidate will involve in 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 – with a focus on complex technical solution design and efficiency in delivering data products and analytical solutions. Candidate demands in-depth expertise in the respective technology profiles and involves collaboration with business stakeholders, product owners, delivery leads, architects and site reliability engineers to deliver high-quality product features successfully and in a timely fashion.

Responsibilities of Principal Data Engineer

• Lead the discovery phases and technical designs for medium to large data and analytical solutions across multiple teams.
• Carry out effective technical design reviews to ensure that the right architecture patterns are used by the team.
• Drive proof of concepts and prototypes to validate ideas.
• Complete data engineering coding and design tasks on problems of high scope and complexity, in particular for building frameworks that promote automation and reusability.
• Set up and configure new technology platforms, tools libraries.
• Demonstrate good coding principles and exercise good judgment in designing and building solutions.
• Conduct solution design reviews for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.
• Implement and practice fit-for-purpose estimation techniques, to promote iterative delivery, both at the sprint/story level and the initiative/epic level.
• Help the program team in refining estimates, with optimal assumptions and inter-dependency understanding.
• Mentor and coach engineers on effective estimation techniques.
• Operate with a data-driven mindset.
• Work with team members to envision solutions as a set of data products and data pipelines.
• Ensure teams are set up to continuously enhance analytical solutions based on new business requirements, without the need for re-training and re-work.
• Ensure solutions being built are stable, scalable maintainable.
• Enable test automation and ensure CI/CD pipelines are in good health.
• Implement monitoring of data applications and track product quality, performance stability.

What you will do more

• Drive corrective, adaptive, preventative perfective actions to maintain solution reliability and quality.
• Provide technical leadership to members of the cross-functional team to address areas of inefficiency and resolve technical issues.
• Identify activities resulting in optimal resource utilization, cost reduction, technical debt remediation, service improvement and reuse value.
• Partner with architects and product owners to prioritize and implement such activities.
• Ensure teams keep data inventories and registries updated, following agreed Data Governance standards, guidelines principles.
• Help shape Data Governance guidelines, engineering standards, data analysis templates knowledge base.
• Champion development of best engineering practices and modernization techniques.
• Partner with Enterprise Data & Analytics leadership team and Enterprise Architects for developing and implementing said practices, as well as promoting solution reusability, process automation, built-in-quality, test-driven development, agile delivery, timely root cause analysis blameless incident post-mortems.
• Key contributor in building and adopting data engineering playbooks for the relevant technologies ensuring adherence to said playbooks, as well as other published coding standards data technology blueprints.
• Mentor and coach data engineers on writing efficient code automating test suites and other development frameworks.
• Manage some less senior data engineers and guide them through a career development framework.
• Build fit-for-purpose onboarding guides and robust feedback mechanisms to ensure an optimal experience for data engineering talent and continuous improvement.
• Help identify any skills gaps and support staff movements and rotations.
• Manage multiple assigned teams, with accountability for hiring top talent, defining development goals measuring performance.
• Contribute to and support building a scalable data engineering team model.
• Identify any skills or resource gaps and assist chapter leads and other data program leaders in closing those gaps. Work with partner and/or offshore teams to accelerate delivery.

Responsibilities of Principal Data Engineer

• Degree or Honors (12+3 or equivalent).
• Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering.
• Minimum 8+ years of leading development efforts and providing support for enterprise analytic applications such as Data Lake and Data Warehouse (including using the Big Data stack and Microsoft Azure cloud infrastructure).
• Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have Experience in Data Engineering.
• Experience with batch and real-time data ingestion.
• Experience with designing and coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion.
• Experience in building reusable components – Experience in introducing new technologies and practices
• Experience designing monitoring and alerting solutions for data pipelines and data repositories
• Experience and knowledge of a wide variety of testing methods and tools covering functional, performance, regression, system integration, smoke testing of Big Data, ETL (Extract-Transform-Load) Business Intelligence applications and pipelines
• Experience building reliable, re-usable automation frameworks (e.g. CI/CD).
• Experience working with partner and/or offshore teams is preferred.
• Experience coaching and mentoring less senior talent.
• Experience directly managing staff is preferred.
• Experience participating in data/analytics product evaluations and proof-of-concepts.

Skills And Knowledge Desired

• 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 complex solutions independently.
• Team player, able to collaborate with other senior resources to remove blockers, solve complex design problems and debug/resolve issues.
• Good communicator, strong influencing skills for participating in decision-making forums, stakeholder management or socializing data/analytics strategies.
• Able to deliver solutions (and associated value) interactively.
• 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 Technology Domain.

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