Trading Engineer (Data)

Job description

Job Purpose and Impact The Professional, Trading Engineering job maintains and partners to design and develop software applications and systems that drive the trading operations. With limited supervision, this job participates in co-creation and maintenance of sophisticated software applications vital to our trading activities, collaboration with cross functional teams to conceptualize, design and implement new software features that meet user needs and advance our business objectives, including upgrading existing software by writing clean, efficient and scalable code to improve performance and functionality, and identifying and resolving issues promptly to ensure the seamless operation of the software systems. This job also participates in code reviews and shares insights and knowledge to uphold the standards of excellence. Key Accountabilities SOFTWARE DEVELOPMENT: Implements and partners to design robust trading systems, applying appropriate technologies to write clean, efficient and maintainable code, integrating market data feeds from financial providers and exchanges to process real time data and customizing solutions to align with trading strategies and regulatory requirements. AUTOMATION: Implements continuous integration and deployment pipelines to streamline trading software releases, automates moderately complex tests to validate software reliability under various market conditions, and optimizes workflows by automating repetitive tasks to increase operational efficiency. COLLABORATION: Collaborates with traders, analysts, and other cross functional teams to gather requirements and deliver needed solutions ensuring technical solutions aligned with business goals, participates in agile practices like standups and sprint planning for effective communication, and shares knowledge through code reviews to support learning and best practices, and explains technical concepts clearly to nontechnical team members. TESTING & DEBUGGING: Partners to develop comprehensive test plans, including unit and integration tests, to validate functionality and performance, applying strong debugging skills to resolve software defects and maintain system integrity, performing moderately complex testing to ensure the system handles high transaction volumes, and collaborates with quality assurance teams members to ensure software meets standards before deployment. CONTINUOUS IMPROVEMENT: Partners to sustain the commitment to improving system performance, scalability and reliability to ensure systems evolve with changing needs, staying current with industry trends and best in class standards, proactively suggesting improvements to development processes and tools, and integrating users and stakeholders feedback to refine software solutions. DOCUMENTATION: Drafts and maintains technical documentation of moderately complex system architecture and development processes, drafting clear technical guides and operation manuals to facilitate ease of use, maintaining compliance with regulations and policies, and assisting with the knowledge base and onboarding and training new team members. TECHNICAL SUPPORT: Monitors live trading systems for optimal performance, including addressing moderately complex real time issues promptly, responding quickly to resolve operational problems, minimizing downtime and risk, performing routine maintenance to keep systems secure and efficient, and supporting disaster recovery planning to ensure business continuity during system failures or crises. Develop ETL/ELT pipelines with AWS tools (Glue, Step Functions, Lambda, DMS) and implement direct-to-Aurora ingestion strategies for snapshots and deltas. Ensure referential integrity, correct ordering, idempotency, and recovery, build monitoring, validation, and reconciliation frameworks. Manage scaling and throughput during EOD ingestion peaks. Qualifications Minimum requirement of 3 years of relevant work experience, typically reflecting 5+ years in data engineering, data integration, or related roles. Proven track record of building resilient, idempotent ingestion frameworks. Experiences in supporting high-volume, time-sensitive processing, especially EOD workloads Strong operational mindset, including monitoring, alerting, and maintaining runbooks. Required Skills: Mandatory: Expert-level SQL development and performance optimization Strong proficiency in SQL and Python. Hands-on experience with ETL pipelines and orchestration frameworks. Solid understanding of ACID-compliant data ingestion principles. Experience with schema evolution and CDC (Change Data Capture) patterns. Experience owning production readiness and end-to-end solution delivery Good to Have: Experience with SAP ODP or enterprise data replication technologies. Familiarity with distributed PostgreSQL systems. Exposure to event-driven architectures (e.g., Kafka). Exposure to cloud-native architectures and AWS-based platforms #Standard