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Tier-1 brand, mid-level generalist title, metro hiring and 3+ years experience increase applicant competition.
Core Spark and AWS data engineering skills transfer broadly, but enterprise banking and secure AI expectations add domain bias.
Mandatory Spark, AWS, Terraform skills plus explicit 3+ years makes shortlisting highly strict.
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Design, develop, and maintain secure, high-quality production code and algorithms within large-scale applications, primarily using Spark (Java/Python) and AWS.
Analyze and synthesize large, diverse data sets to improve software applications and system architectures continuously.
Leverage enterprise-authorized AI coding assist tools to improve code quality, productivity, and delivery speed, ensuring validation through peer review and automated testing.
Formal training or certification in software engineering and at least 3 years of applied experience.
Proficiency with Spark (Java/Python) and AWS technologies including EKS/ECS and Terraform.
Hands-on experience with enterprise-authorized AI-assisted software development tools and ability to validate AI-generated outputs.
Work Experience Required: Minimum 3 years in software development within large corporate environments.
Experienced in system design, development, and operational stability in agile environments with knowledge of CI/CD, application resiliency, and security.
Strong background with modern programming languages and database querying, specifically Spark-based big data processing and AWS cloud infrastructure.
Familiar with responsible AI usage in engineering workflows and skilled in guiding peers on secure and effective AI tool utilization.