Full-Time

Dubai, United Arab Emirates
Posted 5 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 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. Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have
Nationality:- Any Nationality
Gender:- Male / Female

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

Job Categories:- Information Technology

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

Job Title – Principal Data Engineer Jobs in Dubai, United Arab Emirates

Responsibilities:

Principal 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 – with a focus on complex technical solution design and efficiency in delivering data products and analytical solutions.

The position demands in-depth expertise we are looking for a BI tools specialist. Principal Data engineering 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. The Principal Data Engineer leverages his technology/leadership skills for talent development, and to drive continuous improvement in the form of new data platforms and automation frameworks.
Job Outline: –
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 and libraries. Demonstrate good coding principles and exercise good judgement 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 mind-set. 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 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.
Provide technical leadership to members of the cross-functional team 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 and principles. Help shape Data Governance guidelines, engineering standards, data analysis templates and 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 and blameless incident post-mortems. Key contributor in building and adopting data 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 data engineers on writing efficient code, and automating test suites and other development frameworks. Manage some less senior data engineers guide them through a career development framework. 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 to and support building a scalable data engineering team model. Identify any skills or resources gaps and assist chapter leads and other 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. Specialization or electives in a Data & Analytics field (e.g. Data Warehousing, Data Science, Business Intelligence) a nice-to-have

Experience requirements:

A minimum of More than 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)
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

Looking for a BI tools specialist.
Deep understanding of data architecture concepts such as data modelling, Big Data storage, Lambda architecture, data vault and dimensional modelling
Deep understanding of system integration architecture, and demonstrated experience building integration with various types of source systems, able to design and develop loads of operational systems? Data into a single data platform using variety of data integration tools

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
Airline industry experience a nice-to-have.

Desired Skills:

Experience participating in data/analytics product evaluations and proof-of-concepts
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

Qualifications:

Able to deliver solutions (and associated value) interactively – Is accountable and displays a positive attitude

Self-starter and has a 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. Leadership Role: YES

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