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Tier-1 brand, generic senior software title, mid-level experience, metro location, and broad skillset drive high competition.
Core data engineering skills transfer across industries, though financial-services/regulatory experience is a desirable, not mandatory, preference.
Explicit 4+ years plus required data engineering and cloud skills create moderate filtering but flexible desired skills.
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Lead design, development, and optimization of data-driven applications and automated reporting solutions within a global delivery team.
Deliver moderately complex software and data engineering projects including cloud-native, containerized applications on Azure/OpenShift with integrated relational and NoSQL databases.
Own end-to-end delivery including design, coding, testing, deployment, and production support while ensuring security, compliance, and performance.
Minimum 4+ years of software engineering experience.
Experience with data-driven application development and data engineering (ETL/ELT, data modeling).
Proficiency in programming languages such as Python, Java, or Node.js.
Experience with cloud platforms (Azure/OpenShift/Kubernetes), RBAC/security design, and CI/CD pipelines.
Experienced individual contributor capable of leading moderately complex technical initiatives with strong ownership and accountability.
Comfortable collaborating across global teams, specifically U.S.-India delivery models, and interfacing with business stakeholders for requirements and solution delivery.
Background in integrating analytics, reporting, and data science techniques within regulated or financial services environments.