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Senior Data Engineer (Arabic Speaker)

Dicetek LLC
Dubai, UAE
Contract
Mid-Senior
Onsite
Discovered 2 weeks ago
Data transformation and modelingData orchestrationData ingestion and loadingQuery engines, storage, and table formatsProgramming and databasesNoSQL databases
Free

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Data transformation and modelingData orchestrationData ingestion and loading
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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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