Data Scientist (BI Engineer)
Data Scientist (BI Engineer)
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Job Description
Job Description
To ensure that Visas payment technology is truly available to everyone everywhere requires the success of our key bank or merchant partners and internal business units. The Internal AI & Data Science Practice group supports these partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Senior Managers who are equally passionate about the opportunity to use Visas rich data to solve meaningful business problems. You will join one of the Data Science focus areas supporting an internal product and/or function at Visa with a rotational opportunity within Data Science to gain broad exposure to Visas business.
We are looking for a seasoned individual contributor who is comfortable engaging with business owners data enthusiasts and technology teams. Successful candidates have strong experience in developing complex data solutions for business intelligence applications. This role will be hands-on and focused on building data pipelines business intelligence solutions at scale and with a focus on sustained operational excellence.
Responsibilities
The BI Engineer Internal AI & Data Science Practice will be responsible for developing automated scalable and client-facing dashboards. We are looking for candidates with a proven history of developing BI dashboards with strong proficiency in SQL other programming languages in a Big Data environment and data visualization tools
- Work collaboratively with Data Scientists Data Engineer Software Engineers and cross-functional partners to design and deploy Visa dashboards and related products
- Develop and maintain automated ETL pipelines using tools like Apache Airflow Spark Python or HIVE to support internal reporting and ensure data accuracy integrity and consistency.
- Experience with data visualization using Tableau Power BI or similar tools
- Utilize Visas data analytics capabilities technology and industry expertise to develop standardize and implement a streamlined BI architecture
- Participate in business requirements gathering effort sizing architecture planning and front-end designing of dashboards
- Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
- Define and build technical/data documentation and experience with code version control systems (for e.g. git). Ensure data accuracy integrity and consistency
Qualifications :
Basic Qualifications
5 years of work experience with a Bachelors 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 degree
Preferred Qualifications
5 years of work experience with a bachelors degree or 2 years of work experience with an advanced degree (e.g. Masters MBA JD MD) or 0 years of experience with a PhD
Experience in dashboard development and design using data visualization tools preferably Tableau is required
Experience building and maintaining ETL processes in Hadoop including data quality and testing
Advanced knowledge of SQL with experience in Python Spark and exposure to scheduling tools like Apache Airflow
Ability to communicate data-driven insights and convey actionable recommendations
Experience working in an Agile or fast-paced and dynamic environment is a plus
Excellent verbal and written communication skills and interpersonal skills
Experience working with large scale data ingestion processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet Avro HBase etc.).
Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
Additional Information :
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
