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Mid-level, generalist data engineer in a metro location attracts many applicants.
Core data engineering skills transfer across industries despite trade-domain specifics.
Requires explicit six years plus mandatory data, SQL, and cloud skills.
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Design, develop, and support web applications, APIs, and data pipelines for Trade Operations to ensure efficient end-to-end Trade data lifecycle processing.
Build and maintain cloud-based services hosted primarily on AWS, offering scalability, security, and operational monitoring.
Drive technical improvements including automation, data quality enhancements, cloud modernization, and resolving application issues to meet SLA commitments.
At least 6 years of data engineering or software engineering experience.
Degree in computer science or related field.
Proficiency in SQL and one programming language among PHP, Python, or Java.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experienced full stack engineer with strong data engineering skills focused on designing scalable and cloud-native trade operations solutions.
Comfortable managing both application development and operational support including troubleshooting and SLA adherence.
Skilled in improving legacy systems and automating manual processes within complex enterprise environments.