Remote Staff Data Engineer (8+ Years, Java, Python, Spark)

Description:

• As a Senior Data Scientist, you will join the Value Added Services – Digital Marketing & Engagement organization at Visa.
• You will help design, enhance, and build the Visa data token platform within an agile development environment.
• You will lead projects involving the full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services.
• You will spearhead the development of next-generation software incorporating machine learning and deep learning technologies.
• You will ensure services are highly available, secure, scalable, and resilient.
• You will drive innovation to differentiate products and accelerate time-to-market delivery.
• You will utilize containerization technologies such as Docker and Kubernetes, and have expertise in Java, Spring Boot, React, and both relational and non-relational databases.
• You will apply your data engineering skills with Hadoop, Spark, and Scala.
• You will represent the team in various technical forums and build deep partnerships with product management.
• You will analyze business requirements to architect highly secure, robust, and scalable solutions.
• You will lead internal proof of concept initiatives and quickly design and implement prototypes.
• You will champion efforts to design and implement components of global transaction processing systems.
• You will follow and create software best practices and processes.
• You will mentor team members and create an atmosphere of mutual accountability.
• You will play a key role in meetings and discussions with cross-functional and non-technical teams.
• You will collaborate with customers to understand their requirements and build solutions that deliver real value.
• You will work in a hybrid environment, alternating between remote and office work.

Requirements:

• You must have 5+ years of relevant work experience with a Bachelor's Degree or at least 3 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 1 year of work experience with a PhD.
• Preferred qualifications include 6+ years of relevant work experience with a Bachelor's Degree or 4+ years with an Advanced Degree or 2+ years with a PhD.
• You should have demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications.
• You must have solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL.
• You should have expertise in Java, REST APIs, and container-based technologies (Docker, Kubernetes).
• Proficiency in creating and managing large-scale data pipelines and machine learning models is required.
• You must have experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models.
• You should be proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services.
• You must be skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M.
• Strong experience with UI technologies (Redux, React.js, HTML5, CSS4, jQuery/JavaScript) is necessary.
• Familiarity with Agile development, TDD, CI/CD, and various databases is required.
• You should have a proven track record of building reliable, scalable, and operable applications.
• You must be able to manage component security analysis and collaborate with security teams.
• A strong work ethic, focus on immediate goals, and proven experience as a technical leader are essential.
• You should have a passion for mentoring and helping juniors grow professionally.
• Excellent communication and interpersonal skills, and being a strong team player are required.

Benefits:

• Visa offers a competitive salary and benefits package.
• Employees can expect a hybrid work environment, alternating between remote and office work.
• Visa promotes a culture of mutual accountability and professional growth through mentorship opportunities.
• The company is committed to diversity and inclusion, providing equal employment opportunities to all qualified applicants.