Data Engineer
6 months ago
**About FlyAkeed**:
FlyAkeed is an online platform that helps people book flights and hotels easily. We started in 2017 and are based in Riyadh, Saudi Arabia. Our travel solution simplifies the process of planning and handling work-related travel.
**Highlights**:
Current funding stage: Series A
FlyAkeed is supported by: PIF subsidiary Sanabil Investments, Elm, Artal Capital, Alrajhi Partners.
As a **Data Engineer** at FlyAkeed in Riyadh, Saudi Arabia, you will be responsible for designing, building, and maintaining our data architecture, pipelines, and ETL processes. Your expertise will be instrumental in ensuring that data is available, accessible, and secure for various business units and analytical teams.
**Key Responsibilities**:
- **Data Pipeline Development**: Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources into our data warehouse.
- **Data Modeling**: Create and maintain data models that support reporting and analytics needs, ensuring data accuracy, consistency, and performance.
- **ETL Optimization**: Continuously optimize ETL processes to enhance data quality, reduce latency, and improve overall system performance.
- **Data Governance**: Implement and enforce data governance policies, ensuring data privacy, security, and compliance with relevant regulations (e.g., GDPR, HIPAA).
- **Data Integration**: Collaborate with cross-functional teams to integrate data from different sources, systems, and platforms.
- **Performance Tuning**: Monitor system performance, troubleshoot issues, and proactively identify and address bottlenecks.
- **Documentation**: Maintain comprehensive documentation for data engineering processes, ensuring knowledge transfer and team efficiency.
**Requirements**:
- Bachelor's in Computer Science, Information Technology, or a related field.
- Proven +1 years of experience as a Data Engineer.
- Proficiency in programming languages like Python, Java, or Scala.
- Strong expertise in ETL tools and data pipeline orchestration (e.g., Apache Spark, Apache Airflow).
- In-depth knowledge of SQL, data warehousing, and database technologies (e.g., PostgreSQL, Redshift).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Experience with data modeling techniques and tools (e.g., ERD diagrams, dbt).
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Strong communication skills to interact with both technical and non-technical stakeholders.
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