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Staff Data Engineer

Staff Data Engineer

Visa

6 - 8 years

45 - 55 Lacs

Bengaluru

Posted:4 days ago| Platform:

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Skills Required

Unix Computer science Data analysis SAS Business analytics Analytical Scheduling Monitoring Financial services Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

To ensure that Visa s 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 Data Engineers who are equally passionate about the opportunity to use Visa s rich data to solve meaningful business problems. You will join the Data Science team focused on improving our understanding of products and economic valuations, with an opportunity for rotation within Data Science to gain broad exposure to Visa s 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 improvements.

Help improve Visa s decision-making by making data more accessible and relevant to key partners
Develop deep partnerships with engineering, finance, and product teams to deliver on major cross-functional solution development
Work with a team of talented data and analytics engineers with the ability to not only keep up with, but also pioneer, in this space.
Create extract, transform, load (ETL) processes for easy ingestion and use
Find opportunities to create, automate and scale repeatable financial and statistical analysis
Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
Brainstorm innovative ways to use our unique data to answer business problems
Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction.
Communicate effectively to all levels of the organization, including executives.

Basic Qualifications
8 years of work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Master s, MBA, JD, MD) or 0 years of work experience with a PhD degree

Preferred Qualifica

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Staff Data Engineer