Data Engineer

Company Description

Visa is a global leader in digital payments, enabling over 215 billion payment transactions between consumers, merchants, financial institutions and government entities in more than 200 countries and territories every year. Our purpose is to link the world through the most advanced, accessible, reliable and secure payment network, driving individuals, businesses and economies to prosper.

By joining Visa, you become a part of a values-oriented culture where your development is prioritized, your identity is acknowledged, and your contribution counts. We hold the belief that inclusive economies can uplift everyone, everywhere. Your work will significantly impact billions of people globally - aiding in providing financial accessibility to revolutionize the future of monetary transactions.

Join Visa: A Network Working for Everyone.

Job Description

The area of payments has turned quite dynamic and significant in recent years, necessitating innovation. This will continue to be a fascinating field over the next 5 to 10 years. VISA not only leads the payment industry but is quickly evolving into a technology firm, nurturing an environment for the application of the latest technology to address intriguing challenges in this field. For a payment system to operate efficiently, performance and scalability are crucial. These systems can be enhanced by big data, data mining, artificial intelligence, machine learning, cloud computing, among many other advanced technologies, all of which are available at VISA. If you wish to explore the exciting payment space, learn rapidly, and make substantial impacts, the EAA GARP team @ VISA is the ideal place for you!

This position is for a Data Engineer with development experience who will concentrate on developing new capabilities in the Data field while improving our code base and development procedures. In this role, you will need to be a competent developer capable of working within an agile scrum team in a flexible environment. You must have robust technical leadership, problem-solving capacity, coding, testing, and debugging skills, among others. You should be committed to fulfilling product backlog and delivering production-ready code. You should be ready to go beyond the ordinary and be open to a range of tasks.

You will be a significant part of the development team, occasionally working on new designs and constructs to develop a new product or service from scratch while also making adjustments to an existing system to incorporate new features or refactor existing functionality for performance and maintainability. You will always strive to make us more efficient and provide superior solutions to our end customers. You'll be involved in various hands-on activities, including design, documentation, development, and testing of new features. You must be prepared to switch tasks based on the team's requirements.

This role will be based in Bangalore, India, reporting to the Senior Engineering Manager. If this sounds appealing, we would love to discuss more about our work culture and environment and see if this could be a great match for both of us.

Essential Functions

• Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure the development and implementation of new data-driven business solutions
• Engage in defining requirements and clarifying them in collaboration with Business to ensure completeness and mutual understanding. A deep understanding of business needs is essential.
• Understand business requirements and generate design documentation
• Take part in design reviews to provide input on functional requirements, product designs, schedules, or potential issues
• Cooperate with other engineering teams to facilitate a uniform approach to continuous integration encompassing build automation, test automation, and deployment automation
• Collaborate with senior technical staff and PM to identify, document, plan for contingencies, track and manage risks and issues until they are all resolved
   

This is a hybrid position. Hybrid employees can switch between remote and office work. Employees in hybrid roles are expected to work from the office 2-3 set days per week (as decided by leadership/site), with a general guideline of being present in the office about 50% or more of the time based on business needs. This arrangement can change as per HR policies periodically. 

Qualifications

Basic Qualifications:

Bachelor's degree, OR 3+ years of relevant work experience

Preferred Qualifications:

Essential Skills:

• 2+ years of work experience with a Bachelor’s degree or 1.5+ years of work experience with an Advanced Degree (e.g., Masters, MBA, JD, MD)
• Experience in developing data-driven business solutions and solving data problems using a broad range of technologies such as Hadoop, Hive, Spark SQL, Spark API's MongoDB, NoSQL, as well as conventional data technologies like RDBMS, MySQL.
• Proficient knowledge of various Data warehouse techniques.
• Expertise in performance tuning on data pipelines to scale data up to petabytes.
• Proficiency in one or more scripting languages like Python
• Experience with the Unix environment and proficiency in shell scripting.
• Strong analytical skills with exceptional problem-solving abilities.
• Experience in managing a production environment concerning issue identification and resolution.
• Experience in working with stakeholders across different time zones.
• Experience or knowledge of Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git, etc.
• Experience or familiarity with Agile and Test-Driven Development methodology.


Good to have:

• Experience with Data catalog and Data governance requirements is beneficial.
• Experience with data visualization and business intelligence tools like Tableau is advantageous
• Experience with in-memory cubing applications like SSAS is beneficial.
• Experience with distributed cubing engines like Atscale is useful.
• Experience with cloud data warehouse solutions like Snowflake/BigTable/BigQuery is advantageous.

Additional Information

Visa is an equal opportunity employer. All 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.