Director Data Engineering -Big Data technologies (Hadoop, Spark, Hive, Kafka)
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
As a Director, you will lead a world-class team of Engineers to define, drive and execute on a shared strategic vision for Payment Products. You will be closely working with Business partners to understand and elaborate requirements. You will drive the development and integration efforts and work with technical program managers to facilitate use cases, sizing efforts, and timelines. You will initiate processes that allow the team to collaborate with local as well as global teams with a high degree of efficiency. You will lead a team of highly motivated and talented individuals that can collaborate with Project Managers, Product Owners, and SMEs across the company on high impact Payment Product initiatives.
Responsible for the overall development life cycle of the solution
Work with product owners in developing a strategy and roadmaps to provide compelling capabilities that helps them succeed in their business goals
Work closely with architects and senior engineers to develop the best technical design and approach for new product development
Instill best practices for software development, and deliver high quality work on tight schedules
Identify opportunities for further enhancements and refinements to standards and processes
Mentor junior team members, develop departmental procedures and best practices standards
Collaborate, negotiate, manage tradeoffs, and evaluate new ideas with business partners
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
• 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience
Preferred Qualifications
• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 10+ years of experience in building large-scale data processing applications, at least 3 years of which were in leading engineering teams
• Extensive experience with Big Data technologies (Hadoop, Spark, Hive, Kafka)
• Strong knowledge of API development
• Hands-on expertise with Java
• Deep knowledge of Unix/Linux
• Experience with highly distributed, scalable, concurrent, and low latency systems working with one or more of the following database technologies: MySQL, Redis
• Experience working in an Agile and Test-Driven Development environment
• Proven experience delivering large scale, highly available production software
• Strong business and technical vision
• Excellent analytical and problem-solving skills with a strong automation mindset
• Ability to handle multiple competing priorities in a fast-paced environment
• A deep understanding of end-to-end software development in a team, and a track record of shipping software on time
• Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style
• Payment processing background is a big plus
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 Engineering Hadoop Java Kafka Linux MySQL PhD Spark TDD
Perks/benefits: Flex hours
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