
Data Engineer📣 Job Ad
in Quant
about 17 hours ago

Contract Type | Full-time | |
Workplace type | On-site | |
Location | Riyadh |
Join Quant as a Senior Data Engineer and be part of a pioneering team at the forefront of data science and analytics.
As a Senior Data Engineer at Quant, you will play a critical role in preparing data for modeling and predictive analytics. Your responsibilities will encompass integrating new data sources and performing essential pre-processing tasks such as data cleansing and feature engineering. You will also manage various ETL-related operations and leverage your skills in software development to optimize data processes.
Key Responsibilities:
Requirements:
As a Senior Data Engineer at Quant, you will play a critical role in preparing data for modeling and predictive analytics. Your responsibilities will encompass integrating new data sources and performing essential pre-processing tasks such as data cleansing and feature engineering. You will also manage various ETL-related operations and leverage your skills in software development to optimize data processes.
Key Responsibilities:
- Design and implement scalable data pipelines utilizing SQL, Airflow, Python, Alteryx, and cloud technologies.
- Lead data source integration and design data models that align with complex business requirements.
- Ensure data quality by identifying and addressing issues in collaboration with data source owners.
- Deploy and optimize machine learning models, statistical methods, and analytics programs.
- Research novel data acquisition methods to enhance business value.
- Integrate advanced data management tools and software engineering practices for enhanced system performance.
- Build and maintain high-quality datasets that support decision-making processes.
- Develop custom software components and analytics applications to meet business needs.
- Implement strategies to improve data reliability, efficiency, and scalability.
- Drive innovation through research and development initiatives.
- Maintain clear and comprehensive technical documentation of ongoing projects.
Requirements:
- Proficiency in Python with hands-on experience in data analysis and automation.
- Experience with Dataiku for advanced data workflows and machine learning.
- Familiarity with AWS or Azure cloud services.
- Strong background in data visualization and statistical analysis for actionable insights.
- Experience with machine learning models and big data projects.
- Solid understanding of programming concepts and data architecture.
- Ability to define and track meaningful metrics for analytics initiatives.
- Excellent analytical skills with a balance of quantitative and qualitative insights.
- Proficiency in Microsoft Office and Google Suite for effective documentation and collaboration.
- Bachelor’s and/or Master’s degree in Computer Science or a related field.
- Agility, innovation, and ownership in problem-solving.
- Collaborative team player in multicultural environments.
Requirements
- No experience required
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