Staff Data Engineer
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 digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
Visa is seeking a Staff Data Engineer in the Data and AI Platform department to act as one of key technology leaders to build and manage Visa s technology assets in the Platform as a Service organization. As a Staff Data Engineer, you will work on design and development of big data applications and platforms. You will have the opportunity to lead, participate, guide, and mentor other engineers in the team on design and development. This position will be based in Bangalore, KA and reporting to Director of Engineering.
Primary Responsibilities
- Take complete end-to-end ownership of one or more applications components.
- Responsible for the code, unit test, automation, peer review and CI/CD of one or more application components and data pipelines.
- Translate business requirements into technical solutions.
- Responsible for the design and implementation of an innovative, scalable, and distributed systems.
- Design and deploy data and pipeline management frameworks built on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming and other Big Data technologies.
- Work in and promote an agile development culture focused on high quality code development and deployment to production.
- Champion Design and Coding best practices.
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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
- Bachelor s degree in Computer Science, or related technical discipline. With 7 or more years of software development experience in building large scale data processing platforms.- Proficiency in engineering practices and writing high quality code, with expertise in Java
- Experience in building applications on top of Big Data open source platforms like Hadoop, Hive, Spark, HBase, Kafka streaming and other Big Data technologies.
- Experience in building applications on top Kubernetes and containers.
- Experience in handling large data volume in low latency and/or batch mode.
- Experience in building micro services with spring boot or node.js would be a plus.
- Strong team player including mentoring/growing junior engineers
- Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology.
- Strong verbal, written, presentation and interaction skills.
- Quick learner, self-starter, detailed and work with minimal supervision.
Additional Information
Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.Tags: Agile Big Data CI/CD Computer Science Data pipelines Distributed Systems Engineering Hadoop HBase Kafka Kubernetes Node.js Open Source Pipelines Spark Streaming
Perks/benefits: Career development Startup environment
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