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Data Engineer
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Riyadh

    Data Engineer - Riyadh, المملكة العربية السعودية - Quant

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    وصف
    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 marketleading Data Science and AI products and solutions. At Quant we empower aspiring businesses and dynamic governments across industries to become datadriven allowing them to optimize operations enhance efficiency and augment decisionmaking.

    The Data Engineer is required to prepare data for modeling and predictions. This includes integrations with new data sources preprocessing operations such as datacleansing feature engineering statistical analysis and sampling and a variety of other ETL related work. Additionally the Data Specialist should practice strong softwaredevelopment habits and be eager to continuously improve and learn where a background in python machinelearning 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 highperformance 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 datadriven insight influence operational decisionmaking and enable datadriven 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 implementationwise 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 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
    • Dataiku


    Benefits

    Company Sponsored Incentives:

    The Data Engineercould 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 preapproved 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 Plan

    The 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 Premium 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 Allowances
    As an employee of the Company you will be eligible to participate in multiple Companysponsored benefits and allowances including:

    Housing Allowance
    Employees who do not receive housing by the Company receive a Housing Allowance of 25% of the employees basic salary.

    Transportation Allowance
    Employees who do not receive transportation means by the Company receive a Transportation Allowance of 15% of the employees basic salary.

    Communication Allowance
    Employees who do not receive communication means by the Company receive a Communication Allowance of 10% of the employees basic salary.

    Advanced degree in computer science or a related field is preferred. Must have hands-on experience with Microsoft Azure (Azure certification is a plus). Possess 10+ years of experience in designing and managing large, complex software operations. Strong experience scripting installation, configuration, and provisioning using languages like Python, Java, C#, or other high-level languages. Proven experience with configuration management automation tools, Continuous Integration tools, and cloud-based delivery solutions. Strong understanding of high-performance production environments, caching systems, database clustering, and containerization technologies like Docker and Kubernetes. Strong experience in managing DataOps and SaaS platforms, with a solid understanding of data governance and data pipeline best practices. Excellent communication and leadership skills.

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