Data Engineer - Sr. Consultant level

About the position

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.

Responsibilities

• Play a key role in the innovation, design, and development of comprehensive Acquirer bundling and underwriting solutions.
• Design and develop data models by mining and building data pipelines.
• Ensure data quality and integrity by implementing data validation, cleansing, and enrichment processes.
• Monitor data pipelines, systems, and infrastructure to ensure they are running smoothly.
• Implement services needed to release AI and data science models capable of working with terabytes of data.
• Design and develop fine-tune conceptual, logical, and physical data models.
• Provide technical leadership for tooling and infrastructure that enable efficient completion and maintenance of data engineering projects.
• Work and partner with product delivery teams to implement proof of concept and early product in Visa services and products.
• Collaborate with data scientists, product owners, and architects to deliver fast-prototyping platform.
• Champion innovation across organizations and industries as an expert in the subject.
• Present technical solutions, capabilities, considerations, and features in business terms.
• Make decisions on tradeoffs/priority during design and execution.
• Present and demo research solutions to a committee on a regular basis.

Requirements

• 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.
• Experience programming in at least one or more in Java, Python, Scala.
• Strong understanding of algorithms and data structures.
• Hands-on 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.
• Practical experience with data modeling concepts for both relational and non-relational databases.
• Hands-on experience and/or academic background partnering with data scientists.
• Hands-on experience building and managing data pipelines that move data between systems reliably using tools like Apache Airflow.
• Knowledge and experience working with REST/JSON-RPC services, SQL, and NoSQL databases.

Nice-to-haves

• Knowledge and experience working with Frond-end web application frameworks (Angular/React) along with HTML, CSS, JavaScript.
• Familiarity with the associated open-source ecosystem (e.g., mlflow, cortex, seldon, Kubeflow, tfx).

Benefits

• Medical
• Dental
• Vision
• 401 (k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program