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Strong employer brand, mid-level generalist title, metro location, and broad skill requirements increase competition.
Core Python, cloud, and data skills are transferable, but financial datasets require industry familiarity.
Explicit 5+ years plus mandatory Python, Pandas, SQL, AWS, and API development requirements.
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Design, build, test, and support value-add technology solutions and products in collaboration with business and technology teams.
Participate in continuous improvement and Agile SDLC practices, including root cause analysis of operational incidents.
Apply critical thinking to business and technical requests and stay responsive to evolving business needs through experimentation and feedback.
Undergraduate degree or college diploma in Engineering, Computer Science, or related field.
5+ years of relevant work experience.
Strong hands-on expertise in Python including Pandas and API development.
Experience developing and deploying cloud-native applications on AWS and using Gen AI tools (e.g., GitHub Copilot, Claude).
Experienced working in Agile environments with exposure to DevOps practices and CI/CD pipelines.
Strong analytical, problem-solving, and critical-thinking skills demonstrated by participation in solution design and root cause analysis.
Ability to maintain strong relationships with business partners, IT teams, and vendor partners, indicating collaborative and cross-functional engagement.