Data Engineer - Sr. Consultant level - job 13 of 19
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
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Join Visa Technology & Operations LLC as a Data Engineer - Sr. Consultant in Austin, TX, where your expertise in building cutting-edge fraud detection solutions will shine. In this dynamic role, you'll be at the forefront of transforming business problems into technical data challenges, collaborating closely with product stakeholders to ensure that all crucial business drivers are addressed. You'll lead development efforts end-to-end, delivering high-quality solutions that meet architectural standards and business requirements on time. Your responsibilities will encompass all phases of solution development, working alongside an agile team that includes Product Managers, Architects, Analysts, and Developers. The role is not just about writing code; you’ll have the chance to influence architectural decisions and work on significant analytic projects to enhance Visa's data capabilities. Your efforts will go towards building scalable, self-service tools and processes to empower data scientists and business users alike. Mentoring junior team members and managing multiple projects concurrently will also be part of your day-to-day, ensuring that you'll always be engaged with new and exciting challenges. And while based at the Austin office, there is flexibility for partial telecommuting, giving you the work-life balance to thrive. This is your opportunity to make an impact and grow your career in a vibrant and innovative environment where your skills matter. If you're eager to take on this challenge, we can't wait to see what you bring to the team!
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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...
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