Back
Metro location plus broad fullstack and Big Data skillset increases candidate competition despite seniority.
Requires Big Data, Java microservices, Azure and investment-banking domain knowledge, limiting cross-industry portability.
Explicit 10-12 years Java, 5 years Big Data and mandatory tech stack (Azure, Spark, Kubernetes) makes filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead technical design and delivery of Java Full Stack and Big Data solutions ensuring maintainability and consistency.
Drive technical solutions across global projects, including code development, code reviews, and architectural improvements.
Define coding standards and contribute to automation, innovation, and cross-functional team collaboration.
10-12 years hands-on experience in Core Java (Java 8, Java 17) with Spring Framework (Spring Boot, Microservices).
At least 5 years experience in Big Data technologies including Apache Spark, Hadoop ecosystem, and workflow tools (Oozie/Airflow).
Experience with Azure Data Lake, Oracle PLSQL, CI/CD tools (Jenkins), and container orchestration (Docker, Kubernetes).
Work Experience Required: 10-12 years in relevant technologies and domains.
Experienced leader capable of defining technical design specs and leading technical decisions in global projects.
Strong background in investment banking technology environments with knowledge of financial services domain.
Practitioner with demonstrated ability in automation, innovation, and influencing cross-functional teams toward delivery outcomes.