Senior Data Engineer (Arabic Speaker)

🏢 Dicetek LLC
📍 Dubai, United Arab EmiratesFull-timeOn-site
📅 Posted: 2w ago🔄 Updated: 2w ago
CV%
✨ AI Summary
Dicetek LLC is seeking a Senior Data Engineer in Dubai, UAE. The role involves designing, building, and maintaining scalable data pipelines, optimizing ETL/ELT processes, and architecting data warehousing solutions. The ideal candidate will have 10-15 years of experience in data engineering, with a Bachelor's in Computer Application or Master of Science in Computers. Key technical skills include Cloud Data Engineering, Data Pipelines, Big Data, SQL, and Apache Spark. Candidates must have extensive experience in data transformation, orchestration, NoSQL databases, and DevOps practices. Arabic working proficiency is a plus. 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 databas
Required Skills
Information Technology
○Data Transformation○Orchestration○NoSQL○SQL○Apache Spark○Data Pipelines○Data Engineering & Analytics
Other
○Cloud Data Engineering○Lead Data Engineer○Senior Data Solutions Engineer○Analytics Engineer
Nice to have:
Other
○Cloud Data Engineering○Analytics Engineer○Nessie○Iceberg○Delta○Data classification
Information Technology
○Data Pipelines○Data Engineering & Analytics○Apache○Metadata Management○Data Lineage○REST API○Data Governance
Requirements

  • 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

Description
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.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00