Data Engineer
Skills
About This Role
Location: KSA
Duration: 1-2 years
Responsibilities
- Design, build, and maintain
- enterprise data pipelines
- and a
- lakehouse architecture
- .
- Implement ingestion and transformation (ETL/ELT), metadata capture, data quality checks, and historical data migration.
- Collaborate with governance and analytics teams to ensure data is trusted, scalable, AI-ready, and aligned with NDMO requirements.
- Support platform stabilisation, production support, and continuous enhancement.
Tools & Technology Experience
- **Engineering**
- : SQL, Python, PySpark.
- **Data Platforms**
- : data lake / lakehouse (OCI, Azure, AWS) and cloud storage.
- **Integration**
- : ETL/ELT tools (Informatica, ODI, ADF, etc.).
- **DataOps**
- : CI/CD, monitoring, logging, and performance tuning.
Minimum Years of Experience
- **3–6 years**
- in data engineering or platform engineering roles.
- **Requirement**
- : Based in
Riyadh
- ;
- Arabic language skills are mandatory
- .
- The experience bands assume an
- enterprise-scale, regulated environment
- (financial or public sector).
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