Applications Development Tech Lead Analyst - Vice President - Citi

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Job Overview

We are strategically building an A-team of highly skilled and autonomous individuals. We are seeking a Senior Data Developer to join one of our small, co-located, high-performing squads. This role demands a hands-on contributor who can develop, implement, and optimize robust, scalable, and real-time data solutions within our Hadoop ecosystem and streaming platforms. The ideal candidate will possess deep technical expertise in big data technologies, including real-time data streaming with Kafka, and a proven track record of end-to-end project delivery within the banking domain.

We are looking for an AI-first thinker who is adept at leveraging cutting-edge AI coding tools to maximize efficiency and innovation. This role requires strong technical contribution in solution development, proficiency in developing data ingestion, advanced analytics, and comprehensive reporting solutions, and active collaboration within agile, focused teams. The successful candidate will ensure optimal performance, security, and governance of our data infrastructure, with a keen focus on integrating and advancing AI/ML capabilities, while also mentoring and elevating the skills of others. High autonomy and agency are baseline expectations.

Responsibilities:

• Develop and implement scalable and efficient data solutions within the Hadoop ecosystem, ensuring alignment with enterprise data strategy and best practices for small, co-located teams.
• Develop, implement, and manage complex Hadoop-based data pipelines and real-time streaming solutions, demonstrating high autonomy and end-to-end ownership.
• Implement robust real-time data streaming solutions using technologies like Apache Kafka, proactively identifying and integrating performance enhancements .
• Collaborate effectively within a small, agile squad, translating diverse data requirements from engineers and scientists into detailed technical specifications and practical implementations.
• Optimize Hadoop clusters and real-time streaming applications for performance, scalability, and efficient resource utilization, ensuring high throughput and low latency.
• Maintain and monitor the Hadoop and streaming infrastructure to ensure high availability, reliability, and data integrity, proactively identifying and resolving issues with minimal oversight.
• Implement comprehensive data security and governance policies, adhering to strict regulatory and compliance standards prevalent in the banking sector, with a deep understanding of their functional impact.