Sr Data Engineer -Big Data technologies (Hadoop, Java, Spark, Kafka, Hive)
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 design and development of software solutions that leverage data to solve business problems. The candidate will be extensively involved in hands-on activities including POCs, design, documentation, development, and testing of new functionality. Candidate must be flexible and willing to switch tasks based on team's needs.
Responsible for the design, development, and implementation
Work on development of new products iteratively by building quick POCs and converting ideas into real products
Design and develop mission-critical systems, delivering high-availability and performance
Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
Develop code to ensure deliverables are on time, within budget, and with good code quality
Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
Perform other tasks on R&D, data governance, system infrastructure, and other cross team functions, on an as-needed basis
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
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
We are seeking team members that are passionate, visionary and insatiably inquisitive. Successful candidates frequently have a mix of the following qualifications:
•Bachelor’s Degree or an Advanced Degree (e.g. Masters) in Computer Science/ Engineering, Information Science or a related discipline
•Minimum of 3 years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
•Extensive experience with SQL and Big Data technologies (Hadoop, Java, Spark, Kafka, Hive) for large scale data processing and data transformation
•Deep knowledge of Unix/Linux
•Experience with data visualization and business intelligence tools like Tableau, or other programs highly desired
•Familiar with software design patterns
•Experience working in an Agile and Test-Driven Development environment
•Strong knowledge of API development is highly desired
•Strategic thinker and good business acumen to orient data engineering to the business needs of internal and external clients
•Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style
•Previous exposure to financial services is a plus, but not required
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 Computer Science Data governance Data visualization Engineering Hadoop Java Kafka Linux R R&D Spark SQL Tableau TDD Testing
Perks/benefits: Flex hours Team events
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