Data Engineer - Sr. Consultant level

As a Senior Consultant Data Engineer ,  you'll join our Value Added Services – Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services. These services are designed to be highly available, secure, scalable, and resilient.   You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days.   This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. It demands proficiency in containerization technologies like Docker and Kubernetes, expertise in Java, Spring Boot, React, and both relational and non-relational databases. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You’ll be the face of the team representing us in various technical forums.  You’ll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You’ll analyze business requirements and architect highly secure, robust, and scalable solutions. You’ll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You’ll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You’ll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You’ll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.  Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. Expertise in Java, with experience in REST APIs, container-based technologies, and implementing containerization strategies using Docker and Kubernetes. Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containe ... (truncated, view full listing at source)