Visa's Global Data Office is looking to hire a Data Engineering Intern to support requirements and product ownership for different Data Products and Data Platforms. The intern will collaborate with cross-functional teams to enable high-quality data products and data platforms for multiple internal and external cases, helping to shape the future of product and platform capabilities and drive innovation at Visa.
Requirements
- Build and optimize Spark or Hive queries for both batch and interactive data processing on Hadoop.
- Develop and automate ETL pipelines using Apache Airflow to schedule, monitor, and manage dependencies and data flows across multiple systems.
- Support the integration of data sources and facilitate reporting solutions for business stakeholders utilizing Tableau and Power BI.
- Enhance and maintain existing data workflows, collaborating with operations and analytics teams to ensure reliable, high-performance data delivery.
- Troubleshoot issues related to data pipeline performance or job orchestration on Spark, Hadoop, and Airflow platforms.
Responsibilities
- Build and optimize Spark or Hive queries for both batch and interactive data processing on Hadoop.
- Develop and automate ETL pipelines using Apache Airflow to schedule, monitor, and manage dependencies and data flows across multiple systems.
- Support the integration of data sources and facilitate reporting solutions for business stakeholders utilizing Tableau and Power BI.
- Enhance and maintain existing data workflows, collaborating with operations and analytics teams to ensure reliable, high-performance data delivery.
- Troubleshoot issues related to data pipeline performance or job orchestration on Spark, Hadoop, and Airflow platforms.
Other
- Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field graduating December 2026 – August 2027
- Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate p