BI Data Engineer

Visa
Arlington, VA Full Time
POSTED ON 7/14/2022 CLOSED ON 8/2/2022

What are the responsibilities and job description for the BI Data Engineer position at Visa?

Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

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.

We are looking for an established individual contributor who is comfortable engaging with business owners, data enthusiasts, and technology teams.  Successful candidates have strong experience in developing data solutions for business intelligence applications. This role will be hands-on focused on building data pipelines and solutions at scale and with a focus on sustained operational excellence.

Responsibilities

As a BI 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.

  • 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, SAS, SQL etc.

  • Utilize Visa's data analytics capabilities, technology, and industry expertise to develop, standardized and implement BI data sets.

  • Develop solutions within an agile development process leveraging Visa’s single source of truth (SSoT) framework.

  • Provide operational monthly production support.

  • Communicate complex concepts and the results of the analyses in a clear and effective manner.

Qualifications

Basic Qualifications

2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications

3 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

The successful candidate will have at least 4 years of technical experience leading business intelligence or data analytics projects.

• 4 years of work experience with a bachelor’s degree or 2 years of experience and Master’s degree in a technical or related field.
• Build and maintain high performing ETL processes in Hadoop including data quality and testing.
• Advanced knowledge of SQL with experience with HQL, Presto, etc.
• Experience in Python, Spark, and exposure to scheduling tools like Tuber is preferrable.
• 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/MicroStrategy) is a plus.
• Visa experience or knowledge of payments industry is a plus, but not mandatory.

Office Locations
• Hiring location is Denver CO, and Arlington, VA , but other Visa Campus locations in US may be considered.

COLORADO ONLY: This position has a minimum base salary of $ and a midpoint base salary of $. 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 travel 5-10% 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.

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