Back
Tier-1 employer, metro location, mid-level generalist role, and broad data/AWS skillset create high competition.
Core data engineering skills transfer across industries, but financial content and Redshift-specific expertise increase sensitivity.
Explicit 5–8 years requirement, 3+ years management, and specific Redshift/AWS/data-warehouse skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Provide technical leadership to build, implement, and execute data product roadmaps for financial index and benchmark data aggregates.
Design, develop, deploy new features and products to clients, while maintaining and improving existing client-facing databases and processes.
Lead on-call responsibilities, perform code reviews, reduce technical debt, and effectively communicate project scope and timelines to stakeholders.
Bachelor’s or Master’s degree in computer science.
5-8 years overall experience in Software Engineering or Data Engineering.
3+ years of people management experience.
Hands-on experience with Python and advanced knowledge of distributed columnar databases (e.g., AWS Redshift, Vertica) and AWS Cloud technologies (Redshift, S3, Lambda).
Experienced in leading agile engineering teams in complex, data-focused environments involving large-scale datasets.
Skilled in translating business requirements into data warehouse designs and technical solutions with strong problem-solving and communication.
Familiarity with cloud ETL tools and modern software development practices, comfortable driving cloud infrastructure transition and scale-oriented product development.