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Tier-1 brand, mid-level data role in a metro with broad cloud and big-data requirements increases competition.
Core data engineering skills are transferable but banking domain and regulatory knowledge increase specificity.
Explicit 5+ years requirement plus mandatory cloud, production big-data, and reliability expectations raise strictness.
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Develop and maintain end-to-end data pipeline solutions on cloud infrastructure, ensuring performance optimization and zero downtime releases.
Implement scalable, resilient, and secure data systems supporting business domains such as finance, payments, and regulatory reporting.
Monitor production systems, promptly investigate and resolve issues, and support products throughout their lifecycle including incident management.
Formal training or certification in Public Cloud engineering concepts, with 5+ years of applied experience.
Proficient programming skills, preferably in Python or another modern language.
Experience in Public Cloud services in production environments (AWS or equivalent).
Hands-on experience with big data technologies like Redshift and EMR; understanding of Agile, resiliency, and security principles required.
Experienced in building cloud-based data platforms with strong knowledge of data governance and observability.
Skilled in designing scalable, secure, and resilient software architectures that support continuous operation and rapid issue resolution.
Familiar with financial industry data domains and comfortable working in diverse, geographically distributed teams.