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Tier-1 bank, lead data-engineer role, mid-level experience and broad skills in a metro increase candidate competition.
Core data engineering skills are transferable, but KYC/risk and banking governance increase domain sensitivity moderately.
Explicit 5+ years plus mandatory enterprise-scale data, cloud, and tooling requirements increases shortlisting strictness.
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Lead development of secure, scalable data engineering solutions for Global KYC and Risk Assessment Data Platform.
Set architecture and engineering standards across multiple teams to support critical risk management initiatives.
Mentor engineers and advise cross-functional teams on advanced software engineering and automation practices.
5+ years of applied software engineering experience with formal training or certification.
Expertise in Python and/or Java programming languages.
Experience with large-scale data processing, microservices, API design, Kafka, Redis, observability tools, and orchestration frameworks.
Practical cloud-native experience (AWS, Azure, or GCP).
Strong background in data engineering and cloud-native software development at enterprise scale.
Experienced in building frameworks and reusable software patterns for data platforms.
Able to communicate technical concepts effectively to senior leaders and influence engineering practices across teams.