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Tier-1 brand, metro location, and mid-level generalist technical role increase applicant competition.
Core automation and data skills are transferable, but finance-specific controls and benefits domain raise sensitivity.
Explicit years plus mandatory Python, Dataiku, automation and GenAI skills create moderate filtering of candidates.
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Design, build, and support Python-led automation and low-code/no-code workflow solutions to improve operational efficiency.
Translate manual process requirements into automation-ready process maps, user stories, and test scenarios, owning small workstreams end-to-end from build to production support.
Apply AI and prompt engineering techniques responsibly to enhance business workflows, including use of AI-assisted coding tools like GitHub Copilot.
3-5 years of professional experience in Python-led automation, data automation, or software development with hands-on project delivery.
Bachelor's degree (BE/BTech) in Computer Science, IT, Software Engineering, or equivalent relevant experience.
Strong hands-on Python skills including scripting, API integration, data processing, validation, and troubleshooting.
Basic AI/GenAI knowledge and hands-on experience with Dataiku or similar data workflow platforms; experience with front-end web technologies (HTML/CSS/JavaScript) and low-code/no-code platforms.
Experienced in independent delivery of automation solutions including testing, release readiness, and production monitoring within Agile environments.
Comfortable gathering and translating business requirements into technical solutions, coordinating with onshore/offshore teams, and maintaining documentation and controls.
Familiar with financial services or employee benefit plan contexts and skilled in working with AI productivity tools and automation platforms under compliance constraints.