Staff Data Engineer

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

The Sales & Client Services and Experience Team in Visa supports business users in Sales, Client Services and Global Client Care in providing access to data and insights using Data Engineering, Data Science, AI/ML.

This position is ideal for a data engineer who is passionate about designing and developing data engineering pipelines, enhancing and optimizing our existing code base and development procedures. The ideal candidate for this role will have the ability to learn quickly and deliver solutions within strict deadlines in a fast-paced environment. 

Essential Functions

1. Work with product owners, business stakeholders and internal teams to understand business requirements and desired business outcomes.

2. Assist in scoping and designing analytic data assets, implementing modelled attributes and contribute to brainstorming sessions.

3. Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s product management teams and data scientists.

4. Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.

5. Mentor junior data engineers to build data pipelines and frameworks.

6. Contribute to data engineering best practices and assist leads and architects in solution design.

7. Build data pipelines to support Gen AI solutions and vector embeddings for Gen AI solutions.

8. Exhibit a passion for optimizing existing solutions and making incremental improvements.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Basic Qualifications

-5+ 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, OR 8+ years of relevant work

experience.



Preferred Qualifications

-6 or more years of work experience with a Bachelors 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

-Design and coding skills with Big Data technologies like Hadoop, Spark, Hive

and Map reduce.

-Mastery in Pyspark or Scala.

-Expertise in any programming like Java or Python. Knowing OOP concepts like

inheritance, polymorphism and implementing Design Patterns in programming

is needed.

-Experience with cloud platforms like AWS, GCP, or Azure is good to have.

-Excellent problem-solving skills and ability to think critically.

-Experience with any one ETL tool like Informatica, SSIS, Pentaho or Azure Data

Factory.

-Knowledge of successful design, and development of data driven real time and

batch systems.

-Experience in data warehousing and an expert in any one of the RDBMS like

SQL Server, Oracle, etc.

- Experience developing as part of Agile/Scrum team is preferred.

- Experience on building data pipelines for Gen AI solutions.

- Nice to have reporting skills on Power BI, Tableau or QlikView.

- Passionate about delivering zero defect code that meets or exceeds the

proposed defect SLA and have high sense of accountability for quality and

timelines on deliverables.

-Strong understanding of cloud architecture and service offerings including

compute, storage, databases, networking, AI, and ML.

-Knowledge of successful design, and development of data driven real time and

batch systems.

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.