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Strong employer, metro location, generalist data engineer role with broad skills increases competition.
Core data engineering skills are transferable but banking/regulatory experience raises domain sensitivity to medium.
Technical stack expectations and leadership experience make filters moderately strict.
Develop and deliver end-to-end data pipeline solutions on cloud infrastructure using modern technologies.
Design and build scalable, secure, and maintainable data architectures with zero downtime releases.
Support data products throughout their lifecycle including production, incident management, and performance monitoring.
Professional hands-on experience as a data engineer.
Proficiency in Python coding and designing/implementing various test types (unit, integration, end-to-end).
Experience with cloud technologies, distributed systems, data transformation frameworks, and pipeline orchestration tools.
Formal training or certification in data engineering concepts.
Experienced in working with large data volumes, optimizing data processing, and event-based architecture including data streaming and messaging.
Skilled in stakeholder management, prioritizing across multiple work streams, and coaching team members on coding/design best practices.
Familiarity with regulated industry environments, AWS cloud, data governance, incremental data processing, and RESTful APIs is a plus.