Data Engineer

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.

The Data Engineer is required to prepare data for modeling 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:

• 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.

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:

• Python
• Alteryx
• Dataiku