Visa is looking for a Data Engineer to join their Alternate Payments team to mine data, build data pipelines, and contribute to the innovation, design, and construction of comprehensive Acquirer bundling onboarding and underwriting solutions. These solutions aim to expedite the onboarding and underwriting process for Alternate payments customers, positioning Alternate Payment products for faster growth.
Requirements
- 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 that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Kafka, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner.
- Practical experience with data modeling concepts for both relational and non-relational databases.
- Hands-on experience and/or academic background partnering with data scientists and can speak knowledgeably about the major machine learning paradigms, algorithms, and software tools.
- Hands-on experience building and managing data pipelines that move data between systems reliably using tools like Apache Airflow.
Responsibilities
- 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.
- 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.
- Design and develop fine-tune 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 fast-prototyping platform.
Other
- Versatile, curious, and energetic Data Engineer who embraces solving complex challenges.
- 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.
- 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.
- Make decisions on tradeoffs/priority during the design and execution, such as tradeoff between performance and flexibility, scope and timelines, availability, and scalability, etc.
