Visa Data Engineer - Sr. Consultant level \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Engineer - Sr. Consultant level Full-time Job Family Group: Engineering and Technology Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters to you, to your community, and to the world. Progress starts with you. Job Description 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: Youll be the face of the team representing us in various technical forums. Youll 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. Youll analyze business requirements and architect highly secure, robust, and scalable solutions. Youll 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. Youll 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. Youll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. Youll 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. Qualifications 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 containerized environments (Docker, K8s). Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. Strong experience with UI technologies, including Redux, React.js, HTML5, CSS4, and jQuery/JavaScript standards. Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. Ability to manage component security analysis and collaborate with security teams. Strong work ethic, focus on immediate goals, and proven experience as a technical leader. Passion for mentoring juniors and helping them reach new heights. Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. Excellent communication and interpersonal skills, and a strong team player. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $169,100 to $270,800 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Engineer - Sr. Consultant level Foster City, CA Full-time I'm interested I'm interested

The role requires 8 or more years of relevant work experience with a Bachelor Degree, or at least 5 years of experience with an Advanced Degree, or 2 years of work experience with a PhD. Preferred qualifications include 9 or more years of relevant work experience with a Bachelor Degree, or 7 or more relevant years of experience with an Advanced Degree, or 3 or more years of experience with a PhD. Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications is essential. Solid experience in big data engineering with working knowledge of Hadoop, Apache Spark, Python, and SQL is required. Expertise in Java, with experience in REST APIs, container-based technologies, and implementing containerization strategies using Docker and Kubernetes is also necessary. Proficiency in creating and managing large-scale data pipelines, handling complex data, and machine learning models, as well as expertise in developing ETL processes and productizing AI/ML models, are key.