Full-Time

Dubai, United Arab Emirates
Posted 2 months ago

AED 1000 - 25000 AED / Month
Salary: AED 1000 - 25000

Why Pick The Emirates Gathering? We are pleased to have our home in Dubai, a lively, cosmopolitan city that is impeccably situated to associate with the world and offers an extraordinary way of life chances to suit you. Did you have at least some idea that 33% of the worldwide populace is situated in no less than 4 hours flying time from Dubai and 66% in 8 hours or less?

Principal Data Engineer(Quality and Automation) Jobs in Dubai, United Arab Emirates

The Emirates Group – Dubai, United Arab Emirates

Job Location:- Dubai, United Arab Emirates
Company:- The Emirates Group

Education:- Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering
Nationality:- Any Nationality
Gender:- Male / Female

Number of Vacant Positions:- Not Mentioned
Salary:- Negotiable
Job Type:- Full-Time

Job Categories:- Engineering

About The Emirates Group

Why Pick The Emirates Gathering?

We are pleased to have our home in Dubai, a lively, cosmopolitan city that is impeccably situated to associate with the world and offers an extraordinary way of life chances to suit you.
Did you have at least some idea that 33% of the worldwide populace is situated in no less than 4 hours flying time from Dubai and 66% in 8 hours or less?
Our compensation and support agreement, mirror the different ideas of the jobs we offer, both in Dubai and all over the planet. Whether you are taking a gander at open doors in our cutting-edge tasks, as a feature of our Administrative center, or backing groups we offer serious compensation, paid tax exemption in the event that you work in Dubai, and a scope of advantages relying upon your situation and job.

Pay and advantages

For anything job you are keen on, we offer a cutthroat all-out pay and advantages bundle. With the different scope of the open doors inside the Emirates Gathering this bundle changes from one job to another to guarantee that we draw in and hold the ability we really want to proceed with our prosperity.

The subtleties underneath give a kind of the advantages we offer for nonexclusive Dubai-based jobs, however kindly check with our Enlistment Experts to figure out which will be material to the job you are keen on, particularly in the event that this is outside Dubai or with dnata.

On the other hand, kindly audit the advantages in every one of the particular professions segments.

Our way of life and variety

The Emirates Gathering shares a great deal for all intents and purposes with Dubai. The dialects, societies, and ethnic foundations that make up our gathering help us advance and develop our business in astonishing ways.

For instance, Emirates was quick to present locally available showers. We likewise accept that the client experience, we offer is truly unique. What’s more, obviously, security is the principal – it’s there in all that we do. In the Center East, dnata was one of the earliest adopters of electric slope vehicles and ‘shrewd’ battery charging. We have additionally presented Vaculex stacking helps with Dubai, which is more secure for staff and more savvy for clients.

Emirates Principal Data Engineer(Quality and Automation)

Job Title – Principal Data Engineer(Quality and Automation) Jobs in Dubai, United Arab Emirates

Responsibilities:

The Principal 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 (ED&A) space. The role involves the design, testing, and support of technical data and analytic solutions and products that support Emirates Airlines and the Emirates Group businesses. with a focus on quality for complex technical solution design and efficiency in delivering data products and analytical solutions. The position demands expertise in the respective technology profiles, and involves collaboration with business stakeholders, product owners, delivery leads, architects and site reliability engineers to orchestrate quality and automation enablers, practices and KPIs to drive quality across the function.

The Principal Data Engineer leverages his technology/leadership skills for talent development, and to drive continuous improvement in the form of improved practices and automation frameworks.
Job Outline: –
Design the overarching quality vision for the ED&A function in conjunction with the Data Governance team, and lead teams in developing test strategies and test plans validating the core business problem and translating them into tests around code functionality, data quality, performance, and security.

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.
Lead the quality aspects in discovery phases and technical designs for medium to large data and analytical solutions across multiple teams. Carry out effective technical design reviews to ensure the quality & automation patterns are used by the team.
Research, design, prototype, build and drive test automation and data quality observability platforms to validate data products of larger scope and complexity running across different data platforms validating the solutions before releasing and while running in production. Demonstrate & mentor good coding principles and exercising good judgement in designing and building solutions. Conduct solution design reviews for peers. Ensure solutions adhere to published data privacy and cybersecurity principles.

Ensure solutions being built are tested for being stable, scalable and maintainable. Enable test automation and ensure CI/CD pipelines are in good health. Implement monitoring of data applications and track product quality, performance and stability. Drive corrective, adaptive, preventative and perfective actions to maintain solution reliability and quality.
Define strategic direction and implement mocking and test data generation capabilities. Liase with teams across the organization to manage cross dependencies for generating / mocking test data for exploratory analysis and running tests.
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.

Champion development of best quality practices and modernization techniques. Partner with Enterpise 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 and timely root cause analysis. Drive and work as key contributor in building and adopting quality engineering playbooks for the relevant technologies, and ensuring adherence to said playbooks, as well as other published coding standards data technology blueprints.
Mentor and coach quality engineers on efficient testing practices and guide less senior data quality engineers through their career development. Build fit-for-purpose on-boarding guides and robust feedback mechanisms to ensure 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, and measuring performance. Contribute and support building a scalable data quality engineering team model. Identify any skills or resources gaps and assist data program leaders in closing those gaps. Work with partner and/or offshore teams to accelerate delivery.

Educational requirements:

Degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering, or Software Engineering

Experience requirements:

A minimum of More than 8+ years of leading quality 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)

Experienced operating in a leadership role building the right culture and practices around quality and developing trustworthy data assets
Experience working with batch and real-time data ingestion experience with designing and coding quality validations across pipelines handling massive quantities of data (structured and unstructured), securely and in a timely fashion – Seasoned in building data quality platforms for highly complex data architectures performing automated checks running in a CI and in production for data observability
Understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling – 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
Operates with efficiency and automation in mind, experience building reliable, re-usable automation frameworks (e.g. CI/CD) – Strong SQL querying skills required

Experience working with partner and/or offshore teams is preferred – Experience coaching and mentoring less senior talent, experience directly managing staff is preferred
The airline industry experiences a nice-to-have

Desired Skills:

Strong people management skills with a proven ability to hire and grow teams of Data Quality engineers

Strong organizational, planning, and follow-up skills and ability to hold others accountable.
Experience participating in data/analytics product evaluations and proof-of-concepts
Operates with a? You Code It, You Own It? Mind-set (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

Qualifications:

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 Technology.

Domain Key Technologies/Tools Big Data : Hadoop, Spark, Scala, Hive, H-Base, Sqoop, Oozie, Apache Nifi, Airflow, HDFS, ADLS (Gen 2), Azure Data Factory (ADF), DataBricks, Kafka, Elasticsearch, AVRO / PARQUET file formats Data Analysis, Modelling and Reporting : Snowflake, SQL, Data Vault 2.0,
MicroStrategy, Power BI Cloud Technologies : Microsoft Azure and Cloudera technology stacks Integration and Messaging : Streaming (e.g. Spark Streaming), SnapLogic, TIBCO, Kafka, CI/CD : GIT Bitbucket, Azure DevOps, Jenkins, JIRA, Confluence Automation : Java, Selenium, AppDynamics, HP Load Runner, Jmeter, Python, Automation Anywhere

Benefits:

Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance, and more.

Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers