drjobs Senior Data Engineer العربية

Senior Data Engineer

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1 Vacancy
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Job Location drjobs

Dubai - UAE

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Key Responsibilities

  • Ingestion&Pipelines: Architect batchstream pipelines (Airflow Kafka dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers.

  • Storage&Modeling: Implement and tune S3 columnoriented and timeseries data storage for petabytescale analytics; own partitioning compression TTL versioning and cost optimisation.

  • Tooling & Libraries: Develop internal libraries for schema management data contracts validation and lineage; contribute to shared libraries and services for internal data consumers for research backtesting and real-time trading purposes.

  • Reliability & Observability: Embed monitoring alerting SLAs SLOs and CI/CD; champion automated testing data quality dashboards and incident runbooks.

  • Collaboration: Partner with Data Science QuantResearch Backend and DevOps to translate requirements into platform capabilities and evangelise best practices.


Qualifications :

Required Skills & Experience

  • 7years building productiongrade data systems.

  • Familiarity with market data formats (e.g. MDP ITCH FIX proprietary exchange APIs) and market data providers.

  • Expertlevel Python (Go and C nice to have).

  • Handson with modern orchestration (Airflow) and event streams (Kafka).

  • Strong SQL proficiency: aggregations joins subqueries window functions (first last candle histogram) indexes query planning and optimization.

  • Designing highthroughput APIs (REST/gRPC) and data access libraries.

  • Strong Linux fundamentals containers (Docker) and cloud object storage (AWSS3 / GCS).

  • Proven track record of mentoring code reviews and driving engineering excellence.


Additional Information :

What we offer:

  • Working in a modern international technology company without bureaucracy legacy systems or technical debt.
  • Excellent opportunities for professional growth and self-realization.
  • We work remotely from anywhere in the world with a flexible schedule.
  • We offer compensation for health insurance sports activities and professional training.


Remote Work :

Yes


Employment Type :

Full-time

Employment Type

Remote

Company Industry

Department / Functional Area

Data Engineering

About Company

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