Data Engineer - Java/Spark/Big Data
Bengaluru, India
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. You will be an integral part of the Payment Products Development team focusing on development of software solutions that leverage data to solve business problems. The candidate will be extensively involved in hands-on activities including proof of concepts, developing, and testing. The candidate should demonstrate adaptability and readiness to change tasks according to the team's requirements.
Deliver high-quality products and features, taking a holistic view from the initial idea to final delivery. This involves design, development, and testing, along with accountability for release deployments and providing support after deployment
Understand the product in its entirety and ensure timely delivery of your assigned module in an agile team setting
Accurately scope effort, identify risks and clearly communicate trade-offs with the team members and other stakeholders
Coordinate and participate in Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing to core product code
Effectively communicate status updates, issues, and potential risks accurately and promptly
Perform other tasks related to data governance and system infrastructure, as and when required
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications
•Bachelor's degree, OR 3+ years of relevant work experience
Preferred Qualifications
•Associate: 2 or more years of work experience
•Strong knowledge in data structures, algorithms and passion for solving hard problems
•Experience with Big Data technologies (Hadoop, Java, Spark, Kafka, Hive)
•Good knowledge of Unix/Linux and SQL
•Experience with data visualization and business intelligence tools like Tableau, or other programs highly desired
•Familiar with software design patterns
•Experience in working within an Agile framework
•Good knowledge of API development is a big plus
•Strategic thinker with strong business sense, capable of aligning data engineering efforts with the business requirements of both internal and external clients
•Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile API Development APIs Big Data Business Intelligence Data governance Data visualization Engineering Hadoop Java Kafka Linux Spark SQL Tableau Testing
Perks/benefits: Flex hours Team events
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