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Broad mid-level full-stack/data role, metro hybrid setup and wide skillset create high competition.
Core full-stack and data skills transfer across industries, but trade-domain knowledge increases sensitivity.
Explicit 6+ years plus mandatory data, backend, and cloud skills create high shortlisting strictness.
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Design, develop, and support Trade Operations web applications, APIs, and data pipelines to ensure accurate and efficient end-to-end Trade data lifecycle processing.
Lead cloud modernization efforts including application scalability, reliability, security, and support for AWS-hosted environments such as EC2 and RDS.
Partner with Trade Operations Analysts and Technology teams to automate manual processes, improve data quality, troubleshoot operational issues, and support strategic initiatives like market onboarding and AI-driven process improvements.
At least 6 years of data engineering or software engineering experience.
Degree in computer science or a related field.
Proficiency in SQL and at least one programming language among PHP, Python, or Java.
Experience with cloud service providers such as AWS, Azure, or GCP, and knowledge of web development and database design.
Experienced in full lifecycle ownership of data engineering and software engineering solutions with a focus on Trade Operations data workflows and operational support.
Skilled at working in collaborative cross-functional teams involving analysts and technology groups to ensure business continuity and SLA adherence.
Capable of driving cloud modernization, performance optimization, automation, and security improvements within a complex data processing environment.