Big Data Engineer

About the role

The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.

What you'll do

• Work with product owners, business stakeholders and internal teams to understand business requirements and desired business outcomes
• Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions
• 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
• Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users
• Execute data engineering projects ranging from small to large either individually or as part of a project team

What you need

• 5–8 yrs of experience
• Spark
• AWS
• Data warehousing
• ETL
• Azure Data Factory
• Hadoop
• Any graduate

Good to have

• Power BI
• Tableau
• Qlik
• Airflow
• Informatica
• SQL Server