Data Engineer - Sr Consultant level
Data Engineer - Sr Consultant level
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Job Description
We are looking for Versatile curious and energetic Data Engineer who embraces solving complex challenges. As a Visa Data Engineer you will be a member of a versatile development team focused on the Alternate Payments space you should be able to mine the data build data pipelines. Should be familiar with Ensuring data quality and integrity by implementing data validation cleansing and enrichment processes Monitoring data pipelines systems and infrastructure to ensure they are running smoothly and fixing any issues that arise. You will contribute to the innovation design and construction of comprehensive Acquirer bundling onboarding and underwriting customizable risk assessment that is based on data from diverse data sources for Alternate payments customers. These solutions expedite the onboarding and underwriting process positioning Alternate Payment products for faster growth. The right candidate will also possess Data Science background along with Data engineering with demonstrated experience in data mining building pipelines validations and building training implementing and optimizing advanced AI models for payments.
Essential Functions
As a senior data engineer in Alternate payments team you will play a key role in the innovation design and development of comprehensive Acquirer bundling and underwriting solutions. These solutions will feature builtin automated scoring models and customizable risk criteria leveraging data from diverse sources.
Design and develop data models by mining and building data pipelines ensuring data quality and integrity by implementing data validation cleansing and enrichment processes Monitoring data pipelines systems and infrastructure to ensure they are running smoothly.
Implement the set of services needed to release AI and data science models capable of working with terabytes of data. This includes model related features like one time and ongoing automatic model training deploying and monitoring models as well as platform related features such as model repository feature stores data access layer.
Design and develop finetune conceptual logical and physical data models to map our data requirements into database structures.
Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data engineering projects.
Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products.
Collaborate with data scientists product owners and architects to deliver the fastprototyping platform.
Champion innovation across organizations and industries as an expert in the subject either by providing consulting or by contributing to technology talks and presentations.
Present technical solutions capabilities considerations and features in business terms. Effectively communicate status issues and risks in a detailed and timely manner.
Make decisions on tradeoffs/priority during the design and execution such as tradeoff between performance and flexibility scope and timelines availability and scalability etc.
Present and demo the research solutions to a committee on the regular basis.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Visa is not offering relocation assistance for this role.
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
Experience programming in at least one or more in Java Python Scala.
Strong understanding of algorithms and data structures.
Handson experience developing and maintaining machine learning lifecycle: data preprocessing and feature extraction model training and evaluation and deployment and monitoring.
Experience in leading building and supporting scalable and reliable data solutions AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop Spark Kafka Cloud NoSQL TensorFlow H2O etc.) in an agile manner.
Practical experience with data modeling concepts for both relational and nonrelational databases.
Handson experience and/or academic background partnering with data scientists and can speak knowledgeably about the major machine learning paradigms algorithms and software tools.
Handson experience and/or academic background translating data science problem statements into corresponding data infrastructure or workflow needs.
Handson experience building and managing data pipelines that move data between systems reliably using tools like Apache Airflow. Additionally ensuring data quality data lineage and data compliance while implementing robust data security measures using version control systems like Git and setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing and deployment.
Knowledge and experience working with Frondend web application frameworks (Angular/React) along with HTML CSS JavaScript is a plus.
Knowledge and experience working with REST/JSONRPC services SQL and NoSQL databases.
Familiarity with the associated opensource ecosystem (e.g. mlflow cortex seldon Kubeflow tfx) is a plus.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510% 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 a new hire into this position is 157100.00 to 227900.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated 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.
Visa is not offering relocation assistance for this role.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
