Senior Data Engineer (Arabic Speaker)
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Key skills for this role
Role Overview
Senior Data Engineer role requiring 10+ years of hands-on data engineering experience.
The position includes production pipeline ownership and end-to-end ownership of at least one platform or system.
Key Skills for This Role
Full Job Posting
Role Overview
Senior Data Engineer role requiring 10+ years of hands-on data engineering experience.
The position includes production pipeline ownership and end-to-end ownership of at least one platform or system.
Must-Have Skills
- Data transformation and modeling.
- Data orchestration, ingestion, and loading.
- Query engines, storage, and table formats.
- Programming, databases, and non-relational or NoSQL databases.
- Data formats, semi-structured data, and distributed processing.
- Scripting, Linux, connectivity, and reliability patterns.
- Security, governance, secrets, APIs, integrations, platform deployment, DevOps, operations, and troubleshooting.
Experience Requirements
- Have 10+ years of hands-on data engineering experience with production pipeline ownership.
- Own or have owned at least one data platform or system end to end.
Nice-to-Have Skills
- Nessie or other data catalog versioning and Iceberg or Delta internals.
- Apache Kafka or equivalent event streaming and streaming ingestion patterns.
- Metadata management, data lineage, and audit framework design.
- API integration platforms, OAuth2, and API-key authentication models.
- Data governance, data classification, and regulated or government data experience.
- Experience taking over or stabilizing a vendor-built or handed-over platform.
- Arabic working proficiency.
Responsibilities
- Own production data engineering pipelines and at least one data platform or system end to end.
- Design and maintain data transformation and modeling workflows.
- Implement data orchestration, ingestion, and loading processes.
- Work with query engines, storage systems, table formats, databases, and NoSQL platforms.
- Process data formats, semi-structured data, and distributed workloads.
- Apply scripting, Linux, connectivity, and reliability patterns to data platforms.
- Implement security, governance, secrets management, APIs, and integrations.
- Support platform deployment and DevOps activities.
- Operate, troubleshoot, and stabilize production data platforms.
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