Senior Data Engineer (Arabic Speaker)

Role Overview

Must-Have Technical Skills

• Data transformation and modeling, orchestration, and data ingestion and loading are required.
• Query engines, storage, table formats, programming, and databases are required.
• Non-relational or NoSQL databases are required beyond basic exposure.
• Data formats, semi-structured data, and distributed processing are required.
• Scripting, Linux, connectivity, reliability patterns, security, governance, and secrets are required.
• API integration basics, platform deployment, DevOps, operations, and troubleshooting are required.

Preferred Skills

• Nessie or other data catalog versioning and Iceberg or Delta internals are preferred.
• Apache Kafka or equivalent event streaming and streaming ingestion patterns are preferred.
• Metadata management, data lineage, and audit framework design are preferred.
• API integration platforms, OAuth2, and API-key authentication models are preferred.
• Regulated or government data experience and vendor-platform stabilization experience are differentiators.
• Arabic working proficiency is a differentiator.

Responsibilities

• Own production data pipelines and at least one data platform or system end to end.
• Design and support data transformation, modeling, orchestration, ingestion, and loading processes.
• Work across query engines, storage systems, table formats, databases, and semi-structured data.
• Implement distributed processing, scripting, Linux connectivity, reliability patterns, and operational troubleshooting.
• Apply security, governance, secrets management, API integration, deployment, and DevOps practices to data platforms.
• Potentially stabilize or take over vendor-built or handed-over data platforms.

Requirements

• At least 10 years of hands-on data engineering experience is required.
• Production pipeline ownership is required.
• Ownership of at least one platform or system end to end is required.
• Experience with data transformation and modeling, orchestration, and data ingestion and loading is required.
• Experience with query engines, storage, table formats, programming, databases, and non-relational or NoSQL databases is required.
• Experience with data formats, semi-structured data, and distributed processing is required.
• Experience with scripting, Linux, connectivity, reliability patterns, security, governance, and secrets is required.
• Experience with API integration basics, platform deployment, DevOps, operations, and troubleshooting is required.
• Experience with Nessie or other data catalog versioning and Iceberg or Delta internals is preferred.
• Experience with Apache Kafka or equivalent event streaming and streaming ingestion patterns is preferred.
• Experience with metadata management, data lineage, audit framework design, or API integration platforms is preferred.
• Arabic working proficiency and experience with regulated or government data are differentiators rather than filters.