Trading Analytics Developer, Quantitative Trading

Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies.

Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools.

Develop and optimize analytical data models for time-series, financial metrics, and trading activity.

Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture.

Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization.

Expertise in Linux, Github, and modern CI/CD practices.

Proven experience with AWS cloud services and Kubernetes orchestration.

Comfort working with large-scale, complex datasets in financial/trading contexts.