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Data Engineer
Location: Riyadh, Saudi Arabia
Role Type: Permanent
Description
In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, our client is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. Our client empowers aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.
As a Data Engineer, you will be responsible for collecting, storing, processing, and analyzing vast data sets. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.
Job Responsibilities
Data Engineer
| Posted Date | over 1 year ago |
| Location | Saudi Arabia |
| Discipline | Information Technology |
| Job Reference | 31333 |
| Salary | 0.0 |
Location: Riyadh, Saudi Arabia
Role Type: Permanent
Description
In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, our client is a key enabler in leveraging this resource, as it is among the first Saudi companies dedicated to offering market-leading Data Science and AI products and solutions. Our client empowers aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.
As a Data Engineer, you will be responsible for collecting, storing, processing, and analyzing vast data sets. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.
Job Responsibilities
- Identify data sources, design, and integrate data entities that meet the requirements of the business stakeholders.
- Diagnose data quality issues and liaise with data source owners to come up with potential preventive or corrective measures.
- Deploy high-performance algorithms, analytics programs, machine learning models, and statistical methods.
- Research opportunities for data acquisition and new uses for existing data.
- Implement pipelines using a combination of technologies, including SQL, Airflow, Python, Alteryx, and cloud data tech stack.
- Integrate new data management technologies and software engineering tools into existing structures.
- Build datasets that create data-driven insight, influence operational decision-making, and enable data-driven products and services.
- Create custom software components and analytics applications.
- Employ a variety of languages and tools (e.g., scripting languages) to integrate systems.
- Recommend ways to improve data reliability, efficiency, and quality.
- Partaking in research and development initiatives to enhance services and products.
- Work with your colleagues to build a flexible and scalable platform, both implementation-wise and operationally
- Partaking in creating and maintaining comprehensive project documentation.
- Bachelors and/or Master’s degree in Computer Science or other suitable majors.
- Proficient in Microsoft office and Google Suite
- Is capable in programming and/or the understanding of programing languages.
- Quantitative and qualitative analytical skills
- Has sensible statistical knowledge
- Experienced in data visualization.
- Experienced with Machine Learning
- Defining Metrics of Data and Analytics projects
- Familiar with data architecture
- Experienced in working with big data.
- Technical writing experience in relevant areas, including queries, reports, and presentations.
- Python
- SAS
- Tableau
- Alteryx
- Data Visualization Tools such as Tableau and PowerBI
- Data Analysis tools such as Alteryx