Data Engineer Jobs In Sharjah | Thales
About the job
Location: Dubai, United Arab Emirates
In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow’s possible.
Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi’s airport.
JOB OBJECTIVE
As Data Engineer, you will participate in the different phases of Thales Digital Transformation Projects. by collecting, modeling, and rendering our data in order to help end user to perform an accurate analysis of their business through reports and Dashboards.
Roles & Responsibilities
Assembling large, complex sets of data that meet non-functional and functional business requirements
Developing reusable ETL Jobs use cases
Conception of connectors/jobs
Development of Talend Jobs, deployment and commissioning of the interfaces
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Significative experience on data engineering Cloud environment (azure), especially on data services (incl. ADLS Gen 2, Synapse, ADF, Azure SQL DB, Analysis Services, Power Bi Services
Highly skilled in Microsoft SQL Server Stack (Data Base Engine, Integration Services, Analysis Services, Power BI Reporting Services
Advanced SQL, DAX, MDX and Query performance tuning Skills
Very good Knowledge on Design Pattern of Data Product
Demonstrate ability to manage multiple interfaces & deal with IT resources in international context
Familiar with fully automated CI/CD Pipelines (Azure DevOps) for code deployment, integration and test automation, code quality and orchestration for automated build and release.
Ability to manage Row Level Security on each Layer of the data Chain
Familiar with ETL Feeding mechanisms (Delta/Full Loading, Historisation)
Experience Building and Interacting with Data Lake Solutions
Good knowledge on agile methodology
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Build Data Warehouses, Data Marts and Data Cubes
Maintain the ETL in operational condition
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Integrate Business Data
Support the qualification of the projects, extraction, transformation and load of the data (Data Scoping / Discovery)
Technical Framing : Feasibility study, expression of needs, estimation of the load and timeframe
Writing Technical Specifications
Ensure documentation of achievements
Enrich solution components catalogue
User Support
Customer oriented, Quality minded and proactive approach
Qualification, Certification & Educational Requirements
Tools: Talend Studio, Talend Data Integration Platform, Gitlab, Azure DevOps, Visual Studio, SQL server Management Studio, Dax Studio, Tabular editor
Expertises : CI/CD notions, Data Modeling, Talend, SQL ,Agile ,SSAS
Educational:In a master’s degree in computer science/statistics/mathematics fields
Preferred Skills
Fluency in English, both written and verbal.
Excellent communication and presentation skills.
Team work and willing to perform trough cooperation.
Strong attention to details.
Willingness for change and solving problem.
Be passionate about digital transformation.
Strong analytical mindset.
Data oriented.
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
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