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Tier-1 brand, metro location, and broad generalist data engineering requirements drive high competition.
Data engineering skills are transferable across industries, though FS experience preference moderately increases specificity.
Explicit 10+ years, FS experience preference, and mandatory Cloud/SQL/Hadoop imply high shortlisting strictness.
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Lead major data engineering projects delivering innovative, cost-effective, high-quality solutions with faster time to market.
Develop strategic technical plans and solution architectures; present proposals and assist management with business case development and scenario planning.
Lead quality assurance and control processes throughout SDLC; coordinate offshore development; mentor team members and drive adoption of modern data processing architectures including ELTL modernization and real-time transaction data processing.
Bachelor's degree in Information Systems, IT, Computer Science, Engineering, or equivalent.
10+ years of experience in related field; 5 to 8 years preferred in Financial Services delivering secure solutions.
Advanced knowledge of Software Engineering Concepts and Methodologies.
Experience with Data Integration, Data Modeling, Architecture, Cloud, Unix, SQL, and Hadoop.
Proven ability to lead complex, large-scope projects with strategic impact in data engineering environments.
Strong technical leadership with experience developing and implementing architecture and modernization strategies in financial sector.
Experience working with geographically distributed teams and managing quality processes across SDLC phases.