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 ...