Trading Analytics Developer, Quantitative Trading

📋 Description

• Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink
• Design and build unified analytics engine designed for processing large-scale data using Apache
• 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)
• Build idempotent data pipelines with robust backfill and reconciliation capabilities
• Create comprehensive monitoring for data quality, freshness, and pipeline reliability

🎯 Requirements

• 5+ years production experience with both Python and Java in high-performance environments
• Strong software engineering fundamentals: system design, data structures, algorithms, data
• 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
• Advanced SQL with window functions and query optimization, realtime data synchronization together

🎁 Benefits

• Competitive salary
• Medical insurance package with extended coverage to dependents
• Attractive annual leave entitlement including: birthday, work anniversary
• Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
• Aspire career alternatives through us. Our internal mobility program can offer employees a diverse
• Work Perks: crypto.com visa card provided upon joining