| Job Location | Saudi Arabia, Riyadh |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | Other |
| Functional Area | Not Mentioned |
Job Role:In a digital age where the nearly infinite and extravagant availability of data presents unlimited opportunities, Quant 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. At Quant, we empower aspiring businesses and dynamic governments across industries to become data-driven, allowing them to optimize operations, enhance efficiency, and augment decision-making.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. 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 environmentPreferred Skillset: 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.Programming Languages and Software Knowledge Required: Python Alteryx DataikuBenefits Company Sponsored Incentives:The Data Engineer could be eligible to be considered for numerous incentive mechanisms, being:The Career Development Plan, where the Company supports the employee s growth by covering the expenses tied to gaining certificates that are pre-approved in accordance with the employee s career development plan.The Profit Incentive Plan, comprised of a bonus payment pool based on the Company s generated revenue.The Milestone Incentive Plan, awarded based on achievements relevant to enhancing the functions within your department or achieving a key Company goal. All of which will be awarded based on certain subjective criteria established by the Company s management.Commission Plan, awarded based on certain subjective criteria further clarified in the commission policy set by the Company s management.Employee Wellness, part of the company s culture is to promote wellness, best represented in the subsidies provided, such as healthy meal subscriptions, and discounts in numerous wellness and entertainment outlets.Medical Insurance PlanThe Company provides a medical insurance plan as per Company policy. The current adopted medical insurance plan is provided by Bupa Medical Insurance, with the typical medical insurance plan being 2.1. Further information regarding the policy may be provided upon request and provided policies may change according to vendor s change in their policy plan structures.Leaves & Holidays Policy as per Saudi Labor laws, some of which being:Annual Leave: 22 business days of paid Annual Leave per contract year.Holidays: paid Holidays inclusive of Eid Al Fitr, Eid Al Adha, Saudi National Day and Saudi Founding Day.Compassionate Leave: Paid Compassionate Leave of seven 7 calendar days, in the event of death of employee s parent, spouse, or child.Sick Leave: Properly documented sick leave with full pay for up to 30 calendar days; and an additional 60 calendar days at 75% of salary, during each year of service.Employee AllowancesAs an employee of the Company, you will be eligible to participate in multiple Company-sponsored benefits and allowances, including:Housing AllowanceEmployees who do not receive housing by the Company receive a Housing Allowance of 25% of the employees basic salary.Transportation AllowanceEmployees who do not receive transportation means by the Company receive a Transportation Allowance of 15% of the employees basic salary.Communication AllowanceEmployees who do not receive communication means by the Company receive a Communication Allowance of 10% of the employees basic salary.,Work_Experience:4-5 years,Desired Candidate ProfileEducation:Bachelor of Technology/EngineeringGender:nmNationality:Any Nationality
Keyskills :
python Alteryx Data Visualization Big Data Sql Data Storage Airflow Technical Writing
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