Senior Data Engineer
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
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
نوع التوظيف
عن بُعد
