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.
• 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 :
• 6 years of experience building and maintaining production-grade data systems with proven expertise in architecting and launching data lakes from scratch.
• Expert-level Python development skills (Go and C nice to have).
• Hands-on experience with modern orchestration tools (Airflow) and streaming platforms (Kafka).
• Advanced SQL skills including complex aggregations window functions query optimisation and indexing.
• Experience designing high-throughput APIs (REST/gRPC) and data access libraries.
• Solid fundamentals in Linux containerization (Docker) and cloud object storage solutions (AWS S3 GCS).
• Strong knowledge of handling diverse data formats including structured and unstructured data with experience optimising storage strategies such as partitioning compression and cost management.
• English at C1 level - confident communication documentation and collaboration within an international team.
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
