Staff Data Engineer Full Time

About UsVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.At Visa, you’ll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.Job DescriptionThe RoleYou’ll be 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’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, FasterAt 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 OnWorking 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 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 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 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. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.QualificationsBasic 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 Qualifications5+ 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.You should Apply ifYou have experience and a passion for Data Modelling, ETL projects, and Big Data as a developer or engineerYou have good experience in Python, Java or similar languagesYou have proven experience with AWSSQL and data modelling is second nature to youYou are comfortable with general Data Warehousing conceptsYou strive for improvement in your work and that of others, proactively identifying issues and opportunitiesYou have experience building robust and reliable data sets requiring a high level of controlYou have proven experience with stream technologies like Kafka, Kinesis, Pulsar, etcYou have experience working with IaC tools such as Terraform, AWS CloudFormation, or AnsibleNice to havesAny 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 bankingHave previously used dbt, Databricks, or similar toolingExperience working with orchestration frameworks such as Airflow/PrefectDesign and implementation knowledge of stream processing frameworks like Flink, Spark Streaming etc.Used to AGILE ways of working (Kanban, Scrum)Visa is an EEO EmployerQualified 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.