Senior Data Engineer

Company:  Visa

Industry:- Private

Employment Type:-  Full-time

Work Hours:-  8 Hours

Locations:- USA

Full Job Description:

Company Description

Visa is a world leader in payments and technology, with over 259 billion payment 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 payment 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 Role

You’ll be a senior contributor to our Data Engineering team, working across various projects to spot patterns in how we build our Snowflake Data Warehouse. You’ll help us minimize our cloud costs, drive best practices across all our Data Disciplines, and scale and automate our data governance.

Enable VXBS (Visa Cross-Border Solutions) to Make Better Decisions, Faster

At the core of this mission sits our data platform. We’re great believers in powerful, real-time analytics and empowerment of the wider business. We optimize for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Snowflake.

What you’ll be working on

Working in a multi-disciplinary data engineering team, you will:

  • Support the building of robust data models downstream of backend services (mostly in Snowflake) that support internal reporting, and financial and regulatory use cases.
  • Focus on optimization of our Data Warehouse, spotting opportunities to reduce complexity and cost.
  • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modeling, implementation, metadata, and testing standards.
  • Set standards and ways of working with data across VXBS, working collaboratively with others to make it happen.
  • Take established best practices and standards defined by the team and apply them within other areas of the business.
  • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
  • Contribute to prioritization of data governance issues.

You should Apply if

  • You have experience and a passion for Data Modelling, ETL projects, and Big Data as a developer or analyst.
  • SQL and data modeling are second nature to you
  • You are comfortable with general Data Warehousing concepts
  • You strive for improvement in your work and that of others, proactively identifying issues and opportunities
  • You have experience building robust and reliable data sets requiring a high level of control
  • You have good experience in Python, Scala, or similar languages

Nice to haves

Other Jobs You May Be Interested In

  • Any experience working within a finance function or knowledge of accounting.
  • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).
  • Knowledge of regulatory reporting and treasury operations in retail banking
  • Have previously used debt, Databricks, or similar tooling
  • Experience working with IaC tools such as Terraform, AWS CloudFormation, or Ansible
  • Experience working with orchestration frameworks such as Airflow/Prefect
  • Used to AGILE ways of working (Kanban, Scrum)

Qualifications

  • 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 bachelor’s Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Master, MBA, JD, MD) or up to 3 years of relevant experience with a PhD

Senior Data Engineer