SW Engineer
- Full-time
- Job Family Group: Technology and Operations
Company Description
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
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 Data Products Development group supports these partners by using our extraordinarily rich data set that spans more than 3.5 billion cards globally and captures more than 100 billion transactions in a single year.
Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.
As a Data Engineer, you will be responsible for helping to blueprint and deliver modeled attributes, data assets, and self-serve workflows that solve clients' business objectives. You will get the chance to leverage your business acumen and technical knowledge of big data and data mining techniques. Based on deep understanding and knowledge of big-data engineering techniques, you will develop and maintain data and tools to enable data scientists to draw fact based insights and build models This function is critical in building market-relevant client solutions and intellectual property for Visa.
Responsibilities
- Execute data engineering projects ranging from small to large either individually or as part of a project team
- Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa’s data scientists
- Assist in designing analytic data assets, implementing modeled attributes and contributing to brainstorming sessions
- Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
- Understand business requirements and desired business outcomes
- Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users
- Ensure project delivery within timelines and budget requirements
- Provide coaching and mentoring to junior team members
Qualifications
Qualifications
Can you take on the responsibilities described above? Then please apply!
We have a number of openings at all levels and are seeking team members that are passionate, visionary and insatiably inquisitive. Successful candidates frequently have a mix of the following qualifications:
- Post graduate degree in Computer Science/ Engineering, Information Science or a related discipline with strong technical experiences highly desired
- 3+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
- Minimum of 2 years of hands-on expertise with Java or Go lang/Python.
- Experience in developing Rest API or gRPC calls
- Solid hands-on experience with Data technologies like Flink/Kafka streaming.
- Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: MySQL. NoSQL DB, Elastic Search or Redis DB
- Experience working in an Agile and Test-Driven Development environment.
- Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Ansible
- Integrated Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using Jenkins
- Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is good to have
- Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients
- Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style
Additional Information
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.