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Strong employer brand, metro location, mid-level generalist data role and broad skillset increase candidate competition.
Role requires trading-domain experience, EOD processing and CDC knowledge, limiting cross-industry portability.
Explicit minimum experience and many mandatory skills (SQL, Python, ETL, production readiness) make filters strict.
Design, develop, and maintain robust trading software systems integrating real-time market data and supporting high-volume, time-sensitive processing including end-of-day workloads.
Implement and optimize ETL/ELT pipelines using AWS services (Glue, Step Functions, Lambda, DMS) ensuring data integrity, monitoring, validation, and scalability during peak loads.
Provide technical support by monitoring live systems, debugging issues, maintaining runbooks, and collaborating with cross-functional teams to align software solutions with business goals.
Minimum 3 years of relevant work experience, typically 5+ years in data engineering or related roles.
Expert-level proficiency in SQL including development and performance optimization.
Strong skills in Python and hands-on experience with ETL pipelines and orchestration frameworks.
Experience with ACID-compliant data ingestion, schema evolution, CDC patterns, and production readiness ownership.
Experienced in building resilient, idempotent data ingestion frameworks supporting high-volume, time-sensitive workloads like EOD processing.
Operationally focused with strong monitoring, alerting, and runbook maintenance skills for live production environments.
Capable of collaborating with traders, analysts, and cross-functional teams in agile settings to deliver end-to-end solutions aligned with trading strategies.