Data Engineer | Al Futtaim

Company Name: Al Futtaim 
Qualification: Masters and Bachelors Degree  
Location: Dubai, United Arab Emirates 
Salary Range: 7,000 AED – 8,000 AED 
Company Size: 50 – 100 Employees 
Other Benefits: Medical Insurance | Bonus 
Employment: Full Time 

About Company

Founded in the 1930s, Al-Futtaim Group has evolved into a leading conglomerate with a rich history of long-lasting and diverse expertise across automotive, retail, real estate, and finance sectors. As a family-owned business, we take a long-term view in everything we do because we believe that sustainable success requires an unwavering commitment to excellence.​ ​

Our dedication to quality and service is why some of the world’s most admired and innovative brands from across the globe trust Al-Futtaim with their reputation and commercial success. We connect consumers in 20+ markets with these brands in contemporary, powerful, and emotional ways, fostering long standing relationships based on loyalty and mutual trust.​

Job Description/Role

Overview Of The Role

As an Azure Data Engineer in our team, you will be responsible for governing and solution and assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. You will participate in new scope & requirements, break-fix work, testing, and support activities to meet the business needs. Implementing appropriate processes to drive high quality and sustainable solutions will be critical.

What You Will Do

  • Partners with the product owner, scrum master and solution architect to deliver solution.
  • Understanding the business requirements.
  • Responsible to review and analysis of business requirements and design technical solutions
  • Responsible for governance of the technology implementation of the solution designs
  • Work with internal and external implementation team members and partners to contribute to the development, testing and deployment of solutions.
  • Adheres to software development and maintenance standards by maintaining a comprehensive knowledge of internal and external development best practices.
  • Estimate and deliver multiple projects assignments and system change requests as per agreed resourcing and timelines with required quality.
  • You are required to do detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.
  • Responsible for governance and implementing robust data pipeline using Microsoft toolset and Databricks
  • Responsible for creating reusable and scalable data pipelines

Required Skills To Be Successful

  • Expertise in Azure Stream Analytics is desirable
  • Knowledge on Scala is desirable
  • Strong analytic skills related to working with unstructured datasets

What Equips You For The Role

  • Expertise in data ingestion, data processing and analytical pipelines for big data, relational / non-relational databases, and data warehouse solutions
  • Experience in designing and hands-on development in cloud-based analytics solutions.
  • Designing and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services.
  • Build workflows using data from a wide variety of sources, including on premise databases and external data sources with rest APIs and harvesting tools.
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
  • Hands-on experience with Agile software development
  • Thorough understanding of Azure / AWS Cloud Infrastructure offerings.
  • 8+ years of experience in Azure and Databricks.
  • Minimum 5+ implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
  • Bachelor’s degree in Computers or allied field of study.
  • Knowledge of SAP IS-Auto, SAP FICO, SAP BW/BO, Tableau, Power BI, Scala will be considered as added advantage.
  • Certification on Azure platform toolsets will be considered as added advantage

Information Technology (IT)