Data Engineer

Job Description

You’llbe a senior contributor in our Data Engineering team, working across various projects, building out key elements of our data platform using a range of modern tools including Snowflake,dbt, and Airflow.

You’llhelp us minimise our cloud costs, drive best practices acrossallour 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’regreat believers in powerful, real-time analytics and empowerment of the wider business. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Snowflake.

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, financial and regulatory use cases.
• Focus on optimisation 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 modelling, 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 theteam andapply them within other areas of the business.
• Investigate and effectively work with colleagues from other disciplines tomonitorand improve data quality within the warehouse.
• Contribute to prioritisation of data governance issues.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

• You have experience and a passion for Data Modelling, ETL projects, and Big Data as a developer or engineer
• You havegood experience in Python,Javaor similar languages
• You have proven experience with AWS
• SQL and data modelling is second nature to you
• You are comfortable with general Data Warehousing concepts
• You strive for improvement in your work and that of others, proactivelyidentifyingissues and opportunities
• You have experience building robust and reliable data setsrequiringa high levelof control
• You have proven experience with stream technologies like Kafka, Kinesis, Pulsar, etc
• You have experience working with
  
  IaCtools such as Terraform, AWS Cloud Formation, or Ansible

• 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 useddbt, Databricks, or similar tooling
• Experience working with orchestration frameworks such as Airflow/Prefect
• Design and implementation knowledge of stream processing frameworks like Flink, Spark Streaming etc.
• Used to AGILE ways of working (Kanban, Scrum)

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.