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Data Engineer - Sr. Consultant level - job 4 of 19

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Visa Technology & Operations LLC, a Visa Inc. company, needs a Data Engineer - Sr. Consultant level (multiple openings) in Austin, TX t:o

Design, enhance, and build next generation fraud detection solutions in an agile development environment.
Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision and comply with all applicable standards.
Responsibilities span all phases of solution development.
Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Work with architects where applicable or work as architect with senior technologists to develop architecture and design.
Lead team to deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations.
Identify proper service metrics and measurements for ensuring performance against Service Level Agreement.
Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.
Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists.
Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed.
Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.
Execute data engineering projects ranging from small to large either individually or as part of a project team.
Ensure project delivery within timelines and budget requirements.
Mentor and train other juniors on the team on key solutions.
Work on multiple projects and initiatives with different/competing timelines and demands.
Present technical solutions, capabilities, considerations, and features in business terms.
Effectively communicate status, issues, and risks in a precise and timely manner.
Position reports to the Employer’s Austin, TX office and may allow for partial telecommuting.

Average salary estimate

$125000 / YEARLY (est.)

min

max

$100000K

$150000K

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What You Should Know About Data Engineer - Sr. Consultant level , Visa

Join Visa Technology & Operations LLC as a Data Engineer - Sr. Consultant in Austin, TX, where innovation meets collaboration! In this dynamic role, you’ll be crafting next-gen fraud detection solutions in a fast-paced agile environment, turning complex business problems into technical data challenges. Your responsibilities will include driving development efforts end-to-end, ensuring high-quality solutions are delivered on time while adhering to architectural standards. You’ll work closely with product managers, analysts, and other experts to shape data-driven business solutions that make a real impact. Your expertise will be crucial in mentoring junior team members, managing projects with competing timelines, and communicating technical details in understandable terms. Plus, you'll have the chance to implement self-service data tools and build robust processes that empower Visa’s data scientists. If you're passionate about data engineering and eager to tackle exciting challenges with a talented team, this is the perfect opportunity for you. Bring your knowledge, creativity, and problem-solving skills to Visa and help us elevate our data capabilities!

Frequently Asked Questions (FAQs) for Data Engineer - Sr. Consultant level Role at Visa

What does a Data Engineer - Sr. Consultant do at Visa Technology & Operations LLC?

As a Data Engineer - Sr. Consultant at Visa Technology & Operations LLC, you'll be responsible for designing and enhancing innovative fraud detection solutions. This role involves formulating technical data solutions from business problems, driving end-to-end development efforts, mentoring junior team members, and collaborating with various stakeholders to ensure the implementation of data-driven business solutions.