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Job Description
The Business Intelligence Solutions group within the Global Data and Business Intelligence (GDBI) organization works with internal stakeholders to enable faster decision-making, data democratization and self-service through building innovative, scalable best-in-class dashboard and reporting solutions. Our goal is to empower and enable business partners to glean valuable insights from Visa's unique global data assets.
In this role, you will be part of GBO (Global Business Optimization) 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 will take ownership of building and running data pipelines, crafting our local data warehouse and data frameworks, and catering for different data presentation techniques.
ResponsibilitiesAs a Sr. Data Engineer, you will establish data processes, data solutions, and automations, based on business and technical requirements by leveraging Visa supported big data technologies and third-party tools.
- Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and optimally communicate strategy and risk mitigation approaches to leadership.
- Extract, manipulate large datasets and build ETL pipelines in Spark, Python, Presto, HIVE or SAS that process transactions and standardize data fields across various data sources
- Build and maintain robust ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams
- Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement BI data sets.
- Find opportunities to create, automate repeatable financial and statistical analyses or build streamlined data flows for business owners.
- Develop solutions within an agile development process leveraging Visa’s single source of truth (SSoT) framework.
- Participate in business requirements gathering, effort sizing, and architecture planning
- Provide operational production support.
- Communicate complex concepts and the results of the analyses in a clear and effective manner.
This position is open to locations in Denver, CO, Arlington, VA and Miami, FL.
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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
Basic Qualifications 4-6+ yrs. Work experience with a Bachelor’s Degree or 3+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics or relevant area.
Preferred Qualifications 8-10+ yrs. Work experience with a Bachelor’s Degree or 4+ years of work experience with a Master's or Advanced Degree in an analytical field such as Computer Science, Statistics, Finance, Economics or relevant area.Technical skills: Strong experience in Big Data/Hadoop Environment creating large scale data engineering pipelines, data-based decision-making, and quantitative analysis Strong experience in writing and optimizing efficient SQL queries with Python, Hive, Scala handling Large Data Sets in Big-Data Environments Experience with sophisticated, high volume, multifaceted data, as well as machine learning models based on unstructured, structured, and streaming datasets Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems Experience with Unix/Shell or Python scripting and exposure to Scheduling tools like Oozie and Airflow Exposure to stream-processing systems like Apache Storm, Spark-Streaming Proven understanding of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit,Pandas etc.) Experience with visualization software (e.g. Tableau/MicroStrategy) is a plus. Visa experience or knowledge of payments industry is a plus, but not mandatory.This position has a minimum base salary of $115,700 and a midpoint base salary of $150,000. The base pay may vary depending on job-related knowledge, skills, and experience. In addition, this position is eligible for annual bonus and equity.Additional Information
Visa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.
Work Hours: Varies upon the needs of the department.Travel Requirements: This position requires travel5-10% of the time.Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
Vacancy expired!