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Visa // credit cards
Engineering, Full Time       Posted: Monday, July 08, 2019
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  Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable & secure payment network - enabling individuals, businesses, & economies to thrive. Our advanced global processing network, VisaNet, provides secure & reliable payments around the world, & is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, & fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network & scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, & be part of an inclusive & diverse workplace. We are a global team of disruptors, trailblazers, innovators & risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, & doing meaningful work that brings financial literacy & digital commerce to millions of unbanked & underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

Job Description

Cybersecurity is at the beating heart of our culture. Our diligence & expertise is what makes us the undisputed leader in electronic payments. We've made it our priority to create a top-tier Security Architecture team, poised to defend us against any potential cyber threats.CyberSecurity Architecture team is looking for a Data Engineer with Hadoop admin experience.Candidate will be a part of the Security Data Engineering teamand involved with administering Hadoop-ecosystem & Data Engineering activities. The position will be based at Visa's headquarters in Foster City, California.

As a Data Engineer, you will be responsible for helping to blueprint & deliver modelled attributes, data assets, & self-serve workflows that solve clients' business objectives. You will get the chance to leverage your business acumen & technical knowledge of big data & data mining techniques. Based on deep understanding & knowledge of big-data engineering techniques, you will develop & maintain data & tools to enable data scientists to draw fact based insights & build models This function is critical in building market-relevant client solutions & intellectual property for Visa.

You'll need to have excellent communication & cross-group collaboration skills, be able to make forward progress despite ambiguous circumstances, be a self-starter, a quick learner of new technologies & have experience in Data Platform engineering team to maintain DataQuality & Integrity.


    Basic Qualifications

    • 2 years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

    Preferred Qualifications

    • 4-5 years of experience with Bachelor's degree or 2-3 years of experience with Master's degree in Computer.
    • Experience with Data Engineering/ETL/Administration experience in production ETL pipelines, utilizing big data engineering techniques that enable statistical solutions to solve business problems.
    • Design & develop different architectural models for our scalable data processing as well as scalable data storage
    • Experience with various Hadoop distribution like hortonworks.
    • Experiencein scripting languages (Shell/Perl/Python/Java etc.) & preferred Java Programming experience.
    • Experience with no-sql database administration & development like mongoDB is a must
    • Ability to create & manage big data pipeline using kafka, flume & Spark
    • Experience building large-scale distributed applications & services
    • Experience with Scala programming is plus
    • Experience with agile development methodologies
    • Previous exposure to financial services, credit cards or Security analytics is a plus, but not required
    • Extensive experience with SQL & big data technologies (Hadoop, Python , Java, Spark, Hive etc.) tools for large scale data processing, data transformation & machine learning pipelines
    • Experience with data visualization & business intelligence tools like Tableau, Microstrategy, or other programs highly desired
    • Some proficiency with SAS as a statistical package is also highly desirable
    • Familiarity or experience with data mining & statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is very helpful
    • Demonstrated intellectual & analytical rigor, strong attention to detail,team oriented, energetic, collaborative, diplomatic, & flexible style
    Additional Information

    Essential Functions

    • Work with cross functional teams to fully understand business requirements & desired business outcomes
    • Assist in scoping & designing analytic data assets, implementing modelled attributes & contributing to brainstorming sessions
    • Build & maintain a robust data engineering process to develop & implement self-serve data & tools for Visa's data scientists
    • Find opportunities to create, automate & 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 & budget requirements
    • Experience on working with very large data sets & knowledge of building programs that leverage Massively Parallel Processing (MPP) Data warehouse platforms.
    • The engineer will have significant knowledge of Big Data technologies & tools with the ability to share ideas among a collaborative team.
    • Responsible for loading data from several disparate datasets, documentation, performance testing & debugging applications.

    Travel Requirements

    This position requires the incumbent to travel for work 0-5% of the time

    Physical Requirements

    This position will be performed in an office setting. The position will require the incumbent to sit & stand at a desk, communicate in person & by telephone, frequently operate standard office equipment, such as telephones & computers, reach with hands & arms, & bend or lift up to 25 pounds.

    Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines & applicable local law.

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