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Tier-1 bank brand, generalist data engineer title, and broad skill requirements increase candidate competition.
Requires senior data engineering skills plus financial-services experience, limiting cross-industry transferability.
Explicit 12+ years, mandatory Big Data, Python, cloud and leadership expectations make filters strict.
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Lead and oversee applications systems analysis and programming activities for AI/ML data engineering solutions.
Partner with management teams to integrate functions, identify system enhancements, and deploy new products/process improvements.
Provide advanced expertise in application design, coding standards, testing, debugging, and mentoring mid-level developers.
12+ years of relevant engineering experience, preferably in financial services or large/global environments.
Strong proficiency in Python programming for data manipulation and AI/ML pipeline scripting.
Experience with Big Data technologies such as Apache Spark, Hive, Hadoop, and Storm.
Bachelor’s degree or equivalent; master’s degree preferred.
Experienced in designing and implementing large-scale data solutions for AI/ML applications with strong data structures, algorithms, and design patterns background.
Demonstrates ability to work under pressure, handle multiple priorities, and deliver operational process improvements.
Capable of working independently and in matrix teams with strong analytic and diagnostic skills, plus experience in cloud platforms and CI/CD pipelines.