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Tier-1 brand, metro location, and a popular data engineer role with broad skills increase competition.
Core data engineering skills are transferable, but the financial-services experience requirement raises sensitivity.
Multiple explicit mandatory years and specific tech requirements make filtering stringent.
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Develop, design, and maintain scalable Python-based APIs using Flask or FAST frameworks.
Implement and manage containerized applications via Docker, Kubernetes, and OpenShift including CI/CD pipelines with Jenkins, SonarQube, and Git.
Work with database technologies (MongoDB, PostgreSQL), handle unstructured datasets, and implement message queuing and stream processing solutions.
7-10 years overall software development experience.
Minimum 3 years hands-on with Python, Flask APIs, and MongoDB.
Minimum 2 years experience with Docker, Kubernetes, OpenShift, and CI/CD tools (Jenkins, SonarQube, Git).
Bachelor’s degree or equivalent experience; 2-4 years relevant experience in Financial Services Applications Development role.
Experienced in developing production-grade Python APIs and containerized applications within financial or similar regulated industries.
Proficient in managing data pipelines involving unstructured datasets, message queuing systems (Kafka preferred), and stream processing.
Demonstrates ability to set up and maintain robust CI/CD pipelines and troubleshoot complex deployments.