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Tier-1 brand plus metro location with a specialized senior role yields medium applicant competition.
Transferable data engineering skills but low-latency C++ and finance context produce medium background sensitivity.
Multiple mandatory specialized tech requirements (C++, Java, Kafka, Redis) indicate high shortlisting strictness.
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Build and maintain data architectures including pipelines, data warehouses, and data lakes to ensure accurate, accessible, and secure data handling.
Design and develop processing and analysis algorithms for complex data volumes, collaborating with data scientists to deploy machine learning models.
Lead technical direction on complex assignments, provide coaching, and advise senior stakeholders on cross-functional impacts and risk management.
Strong hands-on experience with modern C++ (C++11/14/17/20) for low-latency applications.
Proficiency in Java with expertise in the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security, Spring Data) for microservices and distributed systems.
Practical experience with distributed messaging platforms such as Kafka and Solace, and caching solutions like Redis and Oracle Coherence.
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune.
Experienced in managing and evolving complex data infrastructure and deployment pipelines with focus on scalability and security.
Capable of driving strategic technology decisions and leading multi-year, cross-functional projects with risk and governance accountability.
Experienced with Python scripting (Django, SQL Alchemy, pandas) and exposure to CI/CD pipelines and investment banking domain knowledge is a plus but not mandatory.