Data Engineer

6 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Quant Data & Analytics Full time
Job Title: Data Engineer

We are seeking a highly skilled Data Engineer to join our team at Quant Data & Analytics. As a Data Engineer, you will play a critical role in preparing data for modeling and predictions, including integrations with new data sources, pre-processing operations, and ETL related work.

Key Responsibilities:
  • Data Integration and Pre-processing: Identify data sources, design, and integrate data entities that meet the requirements of our business stakeholders.
  • Data Quality and Analytics: Diagnose data quality issues and liaise with data source owners to come up with potential preventive or corrective measures.
  • Machine Learning and Algorithm Development: Deploy high-performance algorithms, analytics programs, machine learning models, and statistical methods.
  • Data Acquisition and Research: Research opportunities for data acquisition and new uses for existing data.
  • Pipeline Development: Implement pipelines using a combination of technologies, including SQL, Airflow, Python, Alteryx, and cloud data tech stack.
  • Technical Writing: Create custom software components and analytics applications, and employ a variety of languages and tools to integrate systems.
  • Quality and Efficiency: Recommend ways to improve data reliability, efficiency, and quality.
  • Research and Development: Partake in research and development initiatives to enhance services and products.
  • Collaboration: Work with your colleagues to build a flexible and scalable platform, both implementation-wise and operationally.
  • Documentation: Partake in creating and maintaining comprehensive project documentation.
Requirements:
  • Education: Bachelors and/or Master's degree in Computer Science or other suitable majors.
  • Personal Qualities: Agile, critical and logical thinker, 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, capable in programming and/or the understanding of programming languages, quantitative and qualitative analytical skills, 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.
  • Programming Languages and Software Knowledge Required: Python, Alteryx.

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