Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, Financial ServicesIndustries
Requirements
- 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 (incomplete in description)
- Strong analytical and data storytelling skills for executive and regional delivery
- Ability to work independently and as part of a team in a fast-paced environment
- Knowledge of Visa’s products, services, and client engagement strategies
- Proficiency in Hive, Python (including Spark) for developing queries to extract, transform, and load data from sources like Hadoop and cloud-based platforms
- Experience with Power BI and Tableau for developing data visualizations
Responsibilities
- Perform Program Operations function: analyze ecosystem compliance program design through data, assess impact with data simulations, solve data refute cases within defined SLAs
- Perform in-depth analysis and deliver insights on various regional and global priorities
- Contribute to a high-performing culture that becomes the benchmark for excellence at Visa
- Define product requirements and roadmaps based on business needs, network rules & requirements, and industry best practices
- Ensure data-driven decision making is a priority for clients, colleagues, and other internal and external stakeholders
- Analyze large datasets to identify trends, patterns, and key performance indicators
- Develop and maintain Hive & Python (and Spark) queries to extract, transform, and load data from various sources, including Hadoop and cloud-based platforms
- Develop compelling data visualizations using Power BI and Tableau to communicate insights to PMs/Engineering and leadership
- Partner with cross-functional teams (operations, technology, marketers) to translate data into actionable insights and drive strategic decision-making
- Effectively communicate analytical findings to stakeholders at all levels, both verbally and in writing
- Execute on analytics and reporting initiatives to deliver data-driven insights to internal and external stakeholders, including Visa executives, issuing banks, acquirers, processors, merchants, and regulators
Skills
Data Engineering
Analytics
Reporting
Data Storytelling
SQL
Python
ETL
Data Visualization
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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