Java Backend Lead Analyst

As the Engineering Lead Analyst at our company, you will be responsible for leading various engineering activities to design, acquire, and deploy hardware, software, and network infrastructure in coordination with the Technology team. Your main objective will be to ensure that quality standards are met within the existing and planned framework. **Responsibilities:** - Serve as a technology subject matter expert for internal and external stakeholders - Provide direction for all firm mandated controls and compliance initiatives - Define necessary system enhancements for deploying new products and process enhancements - Recommend product customization for system integration - Identify problem causality, business impact, and root causes - Advise or mentor junior team members - Influence decisions through advice, counsel, or facilitating services - Drive adoption of capabilities across regions by partnering with regional business and technology teams - Develop approaches to integrate data into the DataHub (EAP) and prototype methods of developing insights on that data - Assist in troubleshooting Data and Client experience issues - Create and maintain optimal data pipeline architecture - Assemble large, complex data sets that meet functional/non-functional business requirements - Identify, design, and implement internal process improvements - Build the infrastructure required for optimal extraction, transformation, and loading of data - Participate in all team ceremonies including planning, grooming, product demonstration, and team retrospectives - Build analytics tools that provide actionable insights into key business performance metrics - Work with stakeholders to assist with data-related technical issues and support data infrastructure needs - Keep data separated and secure across national boundaries - Create data tools for analytics and data scientist team members - Work with data and analytics experts to strive for greater functionality in the data system - Ability to adjust priorities quickly as circumstances dictate **Software must to have:** - HBase - MongoDB - Oracle - CI/CD - LightSpeed - OpenShift - ML/AL - Java - Java Microservice - Python - PySpark - Hadoop - Google - AWS **Qualifications:** - Languages: Java (expert), Python (proficiency is a plus) - Frameworks: Spring Boot (deep expertise), Java Microservices, REST API, GraphQL - Messaging/Streaming: Apache Kafka (deep expertise in design, development, and operation) - Databases: HBase, MongoDB, Oracle, SQL - DevOps/CI/CD: Experience with CI/CD pipelines, OpenShift, Git - Big Data: Hadoop, PySpark (experience with real-time streaming and stream processing frameworks is a plus) - Cloud Platforms: AWS, Google Cloud (GCP) - Other: LightSpeed (experience is a plus), ML/AL concepts (awareness is a plus) In terms of education, a Bachelors degree/University degree in Computer Science Engineering or equivalent experience is required, with a Masters degree in Computer Science Engineering being preferred. You should be a hands-on expert coder with a strong background in the specified technologies. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,