Business Introduction
Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 48,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Everyday.
Role Purpose
In data engineering role, you will assist on data retrieval from multiple source systems, data processing and cleansing. You will be responsible for constructing automated data pipelines and updating the serving layer for analytics and insights.
Data Pipeline ETL Development & Monitoring:
- Monitor and troubleshoot operational or data issues in the data source/lake for updated version
- Create and maintain optimal data pipelines and works very closely with all data engineers to build best practice pipelines
- Maintain and automate delivery of all data pipelines from different sources for all the functions to measure their respective KPIs in an automated way
- Monitor all schedule jobs to minimize errors to ensure 100% uptime of all reports share with different stakeholders
- Streamline data pipelines using best industry practices to avoid redundancy in jobs running in analytics data warehouse
- Performs ad-hoc analyses of data stored within the analytics data warehouse and writes SQL scripts, stored procedures, functions, and views
- Use data to discover tasks that can be automated
Human Capital Responsibilities
- Proactively identify and seek professional development opportunities to improve leadership and technical skills pertaining to the direct line of work
- Apply and follow MAF Retail’s Human Capital corporate policies and relevant procedures and instructions
- Role model and ensure the application of Majid Al Futtaim Retail corporate policies and guarantee the implementation of all laws, regulations and cultural practices of the operating countries are followed and respected.
- Practice the company values and guarantees the same is respected and followed by the department team members.
Minimum Qualifications/Education
Bachelor’s Degree in Engineering or any relevant discipline
Minimum experience
4+ years in the related function
Skills
General Requirement
- A college degree or higher in Engineering and/or Science
- 3+ years experience in ETL
- Strong with SQL, Python
- Quick self-learner to understand the retail process and engineering mechanism.
- Excellent communication and customer-facing skills with the ability to explain technical approaches and rationale of findings in easy-to-understand terms to scientists, engineering, and business developers.
- Excellent team player
Data Engineer Specific Requirement
- Expertise in development of ETL pipelines
- Experience in DWH concepts
- Experience in GCP platform, Airflow
- Experience in Realtime data
- Experience in agile software engineering cycle.