SW Engineer (Big Data)

Company 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. They will be an integral part of the Payment Products Development team, focusing on the development of software solutions that leverage data to address business challenges. They will be extensively involved in hands-on activities including proof of concepts, development, and testing. They should demonstrate adaptability and readiness to change tasks according to the team's requirements.

Key Responsibilities

• Deliver high-quality products and features, taking a holistic view from the initial idea to final delivery. This involves design, development, testing, and accountability for release deployments as well as providing support post-deployment.

• Understand the product in its entirety and ensure the timely delivery of your assigned module within an agile team setting.

• Accurately scope efforts, identify risks, and clearly communicate trade-offs with team members and other stakeholders.

• Coordinate and participate in Continuous Integration activities, testing automation frameworks, and other related tasks, 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 required.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications

• Bachelor's degree in Computer Science or equivalent field
• Relevant working experience of max up to 2 years in the industry
• Proven experience in software development, particularly in data-centric projects, demonstrating adherence to standard development best practices
• Strong understanding and practical experience with data structures and algorithms, with a passion for tackling complex problems
• Proficiency in Java programming
• Hands-on experience with Big Data technologies such as Hadoop, Spark, and Hive
• Strong knowledge of Unix/Linux operating systems and Shell Scripting
• Proficiency in working with RDBMS and SQL
• Familiarity with version control systems, specifically Git
• Awareness of and experience with software design patterns
• Experience working within an Agile framework

Preferred Qualifications

• Proficiency in Scala & Kafka programming is a good to have
• Experience with Airflow for workflow management
• Familiarity with AI concepts and tools, including GitHub Copilot for code development
• Exposure to AI/ML development is an added advantage
• Proficiency in working with In-memory Databases like Redis
• Good knowledge of API development is highly advantageous
• Strong verbal and written communication skills, with a proactive and self- motivated approach to improving existing processes to enable faster iterations.
• Demonstrated intellectual and analytical rigor, with a keen attention to detail
• Team-oriented, energetic, and collaborative approach to work, coupled with a diplomatic and adaptable 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.