Experienced Data Engineer with Data Science
6 months ago
HIGHBASE TRADING W.L.L is on the lookout for an Experienced Data Engineer to join our dynamic team and play a vital role in our innovative B2B e-commerce project. We are diving deep into the realms of data architecture, science, AI, and machine learning to transform our data-driven strategies. If you have a robust background in data engineering and a keen interest in AI and machine learning, coupled with expertise in Python and a strong command of Arabic and English, we invite you to be part of our transformative journey.
**Responsibilities**:
- Design, build and maintain scalable and robust data architecture to support our e-commerce platform.
- Develop and implement systems for collecting, analyzing, verifying, and reporting large sets of data.
- Create and manage data pipelines and integrate complex data sources.
- Ensure the integrity, availability, and security of data.
- Collaborate with cross-functional teams to identify and solve data-related problems.
- Communicate findings and insights to stakeholders in Arabic and English.
- Keep abreast of new technologies and methodologies in data engineering, data science, and AI.
**Required Skills**:
- Proven experience as a Data Engineer with a deep understanding of database architecture.
- Proficient in Python and familiar with data science and machine learning concepts.
- Strong experience with SQL and NoSQL databases, data modeling, and ETL processes.
- Ability to process and analyze large volumes of data in Arabic & English.
- Excellent command of the Arabic language (native) and proficiency in English.
- Familiarity with cloud services (AWS, Azure) and data visualization tools.
**Preferred Qualifications**:
- Knowledge of advanced analytics and predictive modeling.
- Understanding of big data technologies (Hadoop, Spark).
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Agile methodology experience.
**Join the HIGHBASE TRADING W.L.L team and contribute to shaping the future of B2B e-commerce through data-driven innovation**
This job has been sourced from an external job board.
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