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Tier-1 brand, metro location, and mid-level generalist title increase competition for applicants.
Core data engineering skills are transferable, but financial content and ETL domain raise moderate specificity.
Explicit 5-8 years, 3+ people-management, and mandatory Python/PySpark/AWS/SQL make filters highly strict.
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Provide technical leadership and collaborate with product teams to build, implement, and execute projects and roadmaps for financial data products.
Design, develop, deploy new features/products, and maintain client-facing databases with a focus on ETL pipelines and cloud infrastructure (AWS).
Own projects including bug fixes and enhancements, perform code reviews, improve processes, and take on-call responsibilities.
Bachelor’s or Master’s degree in Computer Science.
5-8 years of experience in Software Engineering/Data Engineering.
3+ years of people management experience.
Hands-on experience with Python, advanced SQL (including query optimization), ETL pipeline & data warehouse design, PySpark, and familiarity with AWS services such as Redshift, EMR Serverless, S3, and IAM.
Experienced technical leader comfortable guiding engineering teams through cloud infrastructure scaling and software development in financial data domains.
Proficient in complex SQL transformations, Python-based implementations, and ETL process optimization in an agile environment.
Capable of handling stakeholder communication on project scope and timelines, with strong debugging and analytical skills.