Senior Data Engineer - Contract

Auckland, New Zealand

Visa

Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bilden

View company page

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

You will be part of a team who are growing the capabilities and services in the Visa Spend Clarity to deliver scalable and robust solutions that will take Visa Spend Clarity to more customers and users around the globe. With an engineering group of nearly 300 people, Visa Spend Clarity is a key focus area with large growth ambitions driven by customer needs and a desire to innovate using modern cloud technologies.

What a Senior Data Engineer does at Visa

A Senior Data Engineer is a pivotal role working within a cohesive cross-disciplined agile team on the product backlog. In this role you will be working on an exciting new set of modules key to deliver a set of critical features to enhance our capabilities to better present data to customers and other engineering team. As a senior you will help drive improvements to processes and practices, providing technical leadership, and mentoring others.

You will be working alongside engineers of intermediate and senior ability, as well as other agile team members and consultants.

This role requires a dedication to technical excellence, not only in writing code, but also in team-collaboration, testing, documentation. Good communication skills are essential, as well as a willingness to work across various disciplines if required.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Solid experience working with

  • Cloud environments – AWS preferred. 
  • Data ETL/ELT transformation (e.g., Python, Spark) 
  • Serverless technologies (e.g., S3, Lambda, Glue, DynamoDB) 
  • SQL (intermediate to advanced skills) 
  • Data modelling and design experience 

Experience required in

  • Scripting (e.g., PowerShell) 
  • Data governance 
  • CI/CD 
  • Source control (e.g., Git, Subversion)
  • Continuous Integration (e.g., TeamCity) 
  • Performance troubleshooting and resolution 
  • Monitoring - including building dashboards to monitor metrics 

Desired experience in:

  • API Development
  • Test automation

Additional Information

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.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile API Development APIs AWS CI/CD Data governance DynamoDB ELT Engineering ETL Git Lambda Python Spark SQL Testing

Region: Asia/Pacific
Country: New Zealand
Job stats:  2  1  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.