Staff Data Engineer
4 weeks ago
This position will be part of VCA (Visa Consulting & Analytics) function in building and maintaining global data assets and engineering solutions. We are looking expertise in data warehousing and building large-scale data processing systems by using the latest database technologies. The Data Engineer takes responsibility for building and running data pipelines, designing our local data warehouse and data frameworks, and catering for different data presentation techniques.
Essential Functions
Exposure working with Global teams & Fortune 500 companies and possess strong experience working directly in client facing roles.
Execute and manage large scale ETL processes to support development and publishing of reports, Datamart’s and predictive models.
Strong Data Analytical and Visualization skills along with experience in self-service reporting tools like Tableau or Power BI with KPIs and facilitate Visa Consulting engagements including data exchange.
Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
Build ETL pipelines in Spark, Python, HIVE or SAS that process transaction and account level data and standardize data fields across various data sources
Build and maintain high performing ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams
Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client’s deliverables
Define and build technical/data documentation and experience with code version control systems (e.g. git). Ensure data accuracy, integrity and consistency
Find opportunities to create, automate and scale repeatable financial and statistical analysis for Visa Consulting and Analytics.
Collaborate with Data Engineering teams in North America and other Global regions to production and maintenance of key data assets.
Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with business customers and leadership team.
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.
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