Senior Data Engineer (Arabic Speaker)

• Design, build, and maintain scalable and robust data pipelines, ensuring seamless data flow from source systems to analytical platforms.

• Develop and optimize complex ETL/ELT processes, transforming raw data into structured, analysis-ready datasets for business intelligence and machine learning initiatives.

• Architect and implement data warehousing solutions, employing best practices for data modeling, schema design, and performance tuning.

• Integrate diverse data sources, including relational databases, NoSQL stores, APIs, and streaming platforms, ensuring data quality and consistency.

Desired Candidate Profile

• 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

  Skills

  Data transformation and modeling

  Orchestration

  Non-relational/NoSQL databases