Data Engineer
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Key skills for this role
Role Overview
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects.
Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future.
With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.
Led by Visa’s first Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution.
Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm.
Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.
About the Team:
We are a Data Engineering team within GDO, responsible for designing, building, and optimizing data pipelines and platforms that power Visa’s analytics, and decisioning capabilities.
Our focus is on data quality, scalability, and reliability, enabling seamless integration of complex datasets across regions.
By partnering with product and business teams, we ensure that data-driven solutions deliver measurable impact and support Visa’s global innovation strategy.
Key Skills for This Role
Full Job Posting
Qualifications
- Basic Qualifications:
- Minimum of 6 months of work experience or a bachelor's degree.
- Preferred Qualifications:
- 2 or more years of work experience.
- 1-3 yrs. work experience with a bachelor’s degree with specialization in computer science, data engineering, information science, electronics, etc.
- Hands-on data engineering experience building and operating production data pipelines.
- Extensive experience in Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, Python, Pandas etc.), Open table formats (e.g. Iceberg)
- Proficiency in Python, SQL, and PySpark.
- Experience with Unix/Linux systems with scripting experience in Bash.
- Experience with data pipeline and workflow management tools like Airflow, etc.
- Experience with relational SQL and NoSQL databases
- Practical experience with AWS data engineering services, especially S3, EMR, and Glue Catalog.
- Strong analytic skills related to working with structured & unstructured datasets.
- Proficiency in managing and communicating data warehouse plans to internal clients.
- Experience with building processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Experience designing for data quality, resiliency, and observability, including validation checks, monitoring, alerting, and runbooks
- Practical experience using generative AI tools such as Claude code or similar systems to accelerate coding, documentation, or incident analysis while applying appropriate review controls.
- Strong communication skills and the ability to convert ambiguous business requirements into clear technical implementation plans.
- Experience with platforms such as databricks or snowflake
- Information for US Applicants
- Work Hours
- Varies upon the needs of the department.
- Travel Requirements
- This position requires travel 5-10% of the time.
- Mental/Physical Requirements
- This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
- Visa is an EEO Employer
About Visa
Visa is a global payments technology company that connects consumers, businesses, banks, and governments in over 200 countries through its electronic payment network, VisaNet.
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