AccountabilitiesAs a Consultant, 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.Deliver small to medium data engineering projects either individually or as part of a project team under general guidance.Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, SQL etc.Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement BI data sets.Find opportunities to create and automate repeatable 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.Build and maintain high performing ETL processes in Hadoop including data quality and testing including operational production support.Communicate complex concepts and the results of the analyses in a clear and effective manner.This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.QualificationsBasic Qualifications:5 or more 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 PhDPreferred 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. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhDAdvanced knowledge of SQL with experience with HQL, Presto, etc.Experience working in an Agile or fast-paced and dynamic environment.Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs to maintain data pipelines for completed projects.Effectively communicate status, issues, and risks in a precise and timely manner.Experience with visualization software (e.g. Tableau/PowerBI) is a plus.Visa experience or knowledge of payments industry is a plus, but not mandatory.Experience with AWS, Azure, Snowflake, or Databricks is preferrable.Experience in Python, Spark, and exposure to scheduling tools like Tuber is preferrable.Additional InformationWork 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.U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 155,300.00 to 225,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. #J-18808-Ljbffr