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Tier-1 bank, metro Hyderabad, common Data Engineer role with broad skillset increases candidate competition.
Core data engineering skills are transferable, but banking security and financial domain knowledge increase preference for finance backgrounds.
Enterprise banking security expectations and required hands-on engineering and AI-assisted tooling raise filter strictness moderately.
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Design, develop, and troubleshoot secure, high-quality production software solutions across multiple technical areas within Consumer and Community Banking technology.
Produce architecture and design artifacts for complex applications ensuring design constraints are met in code development.
Analyze and visualize large diverse data sets to identify problems and opportunities that improve code quality and system architecture.
Practical hands-on experience in system design, application development, testing, and operational stability.
Proficient coding skills in one or more modern programming languages and database querying languages.
Knowledge of Software Development Life Cycle and agile methodologies (CI/CD, Application Resiliency, Security).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in large corporate environments working with modern programming and database technologies.
Proficient and critically evaluative user of enterprise-authorized AI-assisted software development tools to enhance code quality and delivery speed.
Understanding of responsible AI use in secure, resilient engineering workflows and ability to guide peers on safe AI tool usage.