14 часов назад
Data Engineer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python) (Data Engineering): Building robust data pipelines, warehouses, data marts, and business layers for analytical and reporting needs with an accent on data quality, scalable processing, and schema design. Focus on optimizing pipeline performance, integrating internal databases and external APIs, and deploying reliable data systems with cloud infrastructure.
Location: Hybrid in Maadi, Cairo, Egypt
Company
is a proptech company building data-driven solutions for the real estate sector.
What you will do
- Design, build, and maintain scalable data pipelines for internal databases, external APIs, and other data sources.
- Process, transform, and optimize data flows for performance, scalability, reliability, and timely delivery.
- Implement data validation and quality checks to protect data integrity.
- Design data models, schemas, data marts, and business layers for analytical and reporting requirements.
- Deploy and maintain databases, data warehouses, cloud infrastructure, and data processing systems with IT and infrastructure teams.
- Collaborate with data scientists, analysts, and stakeholders to translate data requirements into technical solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, a related technical field, or equivalent experience.
- At least 1 year of experience as a Data Engineer or in a similar role.
- Advanced SQL skills, including complex queries and query optimization.
- Proficiency in Python or similar programming languages.
- Experience developing data warehouses and designing data models.
- Familiarity with AWS, Azure, or Google Cloud Platform.
Nice to have
- Experience building data streams with Kafka, Flink, or Spark Streaming.
- Strong problem-solving skills, attention to detail, and willingness to learn new technologies.
Culture & Benefits
- Hybrid work arrangement in Maadi, Cairo.
- Opportunity to work with data scientists, analysts, IT, and infrastructure specialists.
- Exposure to modern data processing technologies, cloud platforms, and scalable data systems.
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