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Strong Tier-1 brand, metro location, mid-level generalist title, and broad skill requirements increase applicant competition.
Technical full-stack and data tooling skills are transferable, but financial compliance adds moderate domain specificity.
Explicit five-year requirement plus mandatory Python, frontend and SQL expertise increases filter stringency.
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Design, develop, and maintain scalable full-stack web applications and data automation tools using Python and Angular to improve ETL developer productivity.
Develop REST APIs, backend services, and implement features/enhancements for data engineering tool applications with a focus on performance and engineering efficiency.
Collaborate with cross-functional teams, leverage AI-assisted development tools, and adhere to CI/CD, security, and regulatory standards to deliver reliable, high-quality solutions.
Minimum 5 years of hands-on software development experience.
Strong proficiency in Python; experience with Angular or React for front-end development.
Experience with relational databases (SQL), data modeling concepts, version control (Git), and agile development methodologies.
Basic understanding of cloud platforms (preferably GCP) and containerization (Docker).
Experienced in building modern data engineering tools focused on automation, streamlining workflows, and enabling scalability within large data environments.
Comfortable working in a collaborative, agile environment coordinating with geographically dispersed teams (India and US).
Demonstrates strong technical craftsmanship with a focus on quality, security, compliance, and operational excellence in data-centric applications.