Description

Job Description

Experience level: 10+ years hands-on data engineering with production pipeline ownership; at least one platform or system owned end to end.

MUST-HAVE SKILLS (screen for all of these)

Data transformation and modeling

Orchestration

Data ingestion and loading

Query engine, storage, and table formats

Programming and databases

Non-relational / NoSQL databases (must-have, not just exposure)

Data formats and semi-structured data

Distributed processing

Scripting, Linux, and connectivity

Reliability patterns

Security, governance, and secrets

API and integration basics

Platform, deployment, and DevOps

Operations and troubleshooting

NICE-TO-HAVE SKILLS (differentiators, not filters)

• Nessie or other data catalog versioning; Iceberg / Delta internals

• Apache Kafka or equivalent event streaming; streaming ingestion patterns

• Metadata management, data lineage, audit framework design

• API integration platforms (iPaaS); OAuth2, API-key authentication models

• Data governance, data classification, regulated or government data experience • Experience taking over or stabilizing a vendor-built / handed-over platform

• Arabic working proficiency

Key Skills

Education

Any Graduate