About the job:
Role Purpose:
Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.
The Senior Data Engineer is required to prepare data for modelling and predictions. This includes integrations with new data sources, pre-processing operations such as data-cleansing, feature engineering, statistical analysis, and sampling, and a variety of other ETL related work. This is a project-based role, meaning the engineer will work on specific projects with defined goals and timelines. Additionally, the Data Specialist should practice strong software-development habits and be eager to continuously improve and learn, where a background in Python, machine-learning, data storage, and ETL pipelines will be mainly required knowledge.
Job Responsibilities:
- Lead the identification and integration of data sources, designing data entities to meet the complex requirements of business stakeholders.
- Diagnose and address data quality issues, collaborating with data source owners to implement effective preventive or corrective measures.
- Deploy and optimize high-performance algorithms, analytics programs, machine learning models, and statistical methods.
- Research and explore opportunities for data acquisition and innovative uses for existing data to enhance business value.
- Design and implement robust data pipelines using a combination of technologies, including SQL, Airflow, Python, Alteryx, and cloud data tech stack.
- Integrate advanced data management technologies and software engineering tools into existing data structures for improved performance and scalability.
- Build and maintain high-quality datasets that provide data-driven insights, influence operational decision-making, and enable data-driven products and services.
- Develop custom software components and analytics applications tailored to specific business needs.
- Utilize a variety of programming languages and tools (e.g., scripting languages) to effectively integrate disparate systems.
- Recommend and implement strategies to improve data reliability, efficiency, and overall quality.
- Lead research and development initiatives to enhance services and products, driving innovation within the data engineering team.
- Collaborate with colleagues to build a flexible and scalable data platform, ensuring both implementation and operational excellence.
- Create and maintain comprehensive project documentation to ensure clarity and continuity.
Requirements:
Preferred Certifications:
- Bachelors and/or Master’s degree in Computer Science or other suitable majors.
Preferred Personal Qualities:
- Agile
- Critical and logical thinker
- Innovative
- Pragmatic and passionate personality
- Longevity and devotion to the job
- Aptitude to work in a diverse environment
Preferred Skillset:
- Proficient in Microsoft Office and Google Suite
- Is capable in programming and/or the understanding of programming 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.
Programming Languages and Software Knowledge Required:
