Staff Data Engineer (8+ Years, Java, Python, Spark)
Staff Data Engineer (8+ Years, Java, Python, Spark)
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Job Description
As a Senior Data Scientist youll join our Value Added Services Digital Marketing & Engagement organization. You will help design enhance and build our Visa data token platform within an agile development environment collaborating with colleagues who will support and challenge you daily.
Key Responsibilities:
Lead projects involving the full-stack development of real-time scoring services RESTful APIs and container-based distributed services.
Spearhead the development of next-generation software incorporating machine learning and deep learning technologies.
Ensure services are highly available secure scalable and resilient.
Drive innovation to differentiate our products and accelerate time-to-market delivery.
Utilize containerization technologies such as Docker and Kubernetes and expertise in Java Spring Boot React and both relational and non-relational databases.
Apply your data engineering skills with Hadoop Spark and Scala.
Represent the team in various technical forums and build deep partnerships with product management.
Analyze business requirements to architect highly secure robust and scalable solutions.
Lead internal proof of concept initiatives and quickly design and implement prototypes.
Champion efforts to design and implement components of our global transaction processing systems.
Follow and create software best practices and processes.
Mentor team members and create an atmosphere of mutual accountability.
Play a key role in meetings and discussions with cross-functional and non-technical teams.
Essential Functions:
Collaborate with customers to understand their requirements and build solutions that deliver real value.
Architect design and implement secure robust and scalable solutions.
Drive proof of concept initiatives and lead implementation.
Mentor team members and foster a culture of mutual accountability.
Engage in meetings and discussions with cross-functional teams.
Work in a hybrid environment alternating between remote and office work.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications:
5 years of relevant work experience with a Bachelors Degree or at least 3 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 1 year of work experience with a PhD.
Preferred Qualifications:
6 years of relevant work experience with a Bachelors Degree or 4 years with an Advanced Degree or 2 years with a PhD.
Demonstrated leadership in delivering high-quality large-scale enterprise-class applications.
Solid experience in big data engineering with knowledge of Hadoop Apache Spark Python and SQL.
Expertise in Java REST APIs and container-based technologies (Docker Kubernetes).
Proficiency in creating and managing large-scale data pipelines and machine learning models.
Experience developing ETL processes maintaining Spark pipelines and productizing AI/ML models.
Proficient in technologies like Kafka Redis Flink TensorFlow Triton and AWS services.
Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M.
Strong experience with UI technologies (Redux HTML5 CSS4 jQuery/JavaScript).
Familiarity with Agile development TDD CI/CD and various databases.
Proven track record of building reliable scalable and operable applications.
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 and helping juniors grow professionally.
Excellent communication and interpersonal skills and a strong team player.
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
