We have embarked on a major digital transformation and we are looking for tech professionals like you, who are keen to use modern technologies to change how millions of users connect, explore, and transact on our digital channels.
We want you to bring fresh ideas from all domains, including data engineering, large-scale system design, UI development, mobile applications and so on.
You should be talented, versatile, enthusiastic and display leadership qualities.Let’s talk about our vision to you. Qatar Airways is a global leader with innovative products that are recognized by the industry.
Digital and analytics is a key part of enabling our bright future. We embarked on a journey to re-engineer how we deliver digital products and make technology a core business differentiating capability and we need you to carry out this vision.
Hence, if you are looking for a fast pace work environment where you can gain a once in a lifetime transformation experience, and have the opportunity to make multi-billion dollar impact then reach out to us and tell us how you can be a leader in our team
About Your Job :
In this role, using your deep expertise in building cloud data lake architecture you should be an authority at crafting, implementing, and operating stable, scalable cloud data lake platform with required cost considerations to offer business users a highly scalable data and analytics platform.
You are responsible for setting up standards and processes for data cataloguing, data semantics, data authorizations, data security / governance and supporting data scientists and business analysts to access Data as a Service from the platform.
You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements.
Key Responsibilities :
Expert in architect, design, construct, install, test and maintain highly scalable and optimized data pipelines with state-of-the-art monitoring and established baseline pipeline architecture.
based on size, complexity and needs from business teams
Architect the solution to ensure optimal maintenance process for the data in the lake; in terms of real time needs; data analysis needs and data archiving / long term data retention.
Bring together large, complex and sparse data sets to meet functional and non-functional business requirements and use a variety of languages, tools and frameworks to marry data
Design and implement data tools for analytics and data scientist team members to help them in building, optimizing and tuning of use cases.
Architect, design and build data warehouse solutions.
Establish the data access guidelines covering data cataloguing, data semantics, data security, data governance where needed.
Provide technical leadership to the data engineering team and review / contribute to the artefacts delivered, including technical architecture, functional and non-functional requirements, interface specifications and high level design documents.
Proficient in architectural patterns and ensure to QR-IT Software Governance Integration standards.
Lead root cause analysis of reported critical incidents and recommend / ensure implementation of effective preventive actions to avoid repetition.
Review functional and non-functional requirements for the deliveries assigned and recommend / develop technology frameworks.
develop employees to their fullest potential and provide challenging opportunities that enhance employee career growth; recognize and reward employees for accomplishments.
Promote, train, support, and advocate Data Architecture best practices, such as, master data management, data modeling, data modernization etc.
Establish the department or teams objectives and priorities to align with and support business objectives.
Regularly evaluate the department or team objectives, plans, procedures, practices, and makes appropriate changes if needed.
Recruit, train and develop team members to create a high quality data engineering capability
About you :
The applicant should have a Bachelor’s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).
You must have minimum 8 years of data engineering experience. Should have excellent verbal and written communications skills.
Also possess good analytical, interpersonal skills and a proven team player