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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain end-to-end scalable data pipeline solutions on cloud infrastructure with zero downtime releases.
Apply domain modeling to build business products and ensure software is structured for clarity, testing, and evolution.
Monitor and optimize system performance and reliability while supporting product lifecycle including production incident management.
Minimum Requirements
5+ years of applied experience with formal training or certification in Public Cloud engineering concepts.
Proficient programming skills, preferably Python or another modern language.
Experience with Public Cloud production services (AWS or similar) and big data technologies such as Redshift and EMR.
Understanding of Agile methodologies, application resiliency, security, and modern data platforms with data governance and observability.
Ideal Candidate Profile
Experienced in deploying and operating cloud-based distributed data platforms in production environments.
Strong technical foundation in distributed systems, database internals, and software design patterns.
Focused on delivering production-ready, secure, and scalable data engineering solutions for business-critical financial products.