Data Engineer

Job Description

Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.

The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.

Primary Responsibilities:

• Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions
• Build and manage large scale ETL processes to generate data assets for the region
• Build modular and reusable code considering the configurability and scalability while adhering to low-level design
• Perform thorough unit testing of development tasks and document the test results using standard defined templates
• Build, schedule, and manage DAGs in Apache Airflow efficiently
• Monitor data processing tasks using Airflow
• Ensure quality control of data assets, reconciling data loaded across different stages in the data pipeline
• Utilize strong data analytics skills to identify, discuss, and promptly fix data issues
• Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations
• Collaborate and communicate with stakeholders for requirement understanding and clarifications
• Maintain the highest level of quality and detail-oriented approach in daily tasks

This is a hybrid position. This requires 3 days per week attendance in the office.

Qualifications

Basic Qualifications:
5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:

• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• 2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix
• Experience in writing and optimizing SQL queries in a big data environment
• Experience working in Linux/Unix environment and exposure to command line utilities
• Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems
• Exposure to code version control systems (git)
• Experience working with cloud services (e.g. AWS, GCP, Azure)
• Strong communication skills
• Ability to understand business requirements of the broader business
• Good understanding of agile working practices and related program management skills
• Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels
• Advanced degree in technical field (e.g. Computer Science, statistics, etc.)
• Experience with visualization tools like Tableau and Power BI
• Exposure to Financial Services or the Payments Industry

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.