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.

• Responsible for providing production support and automation for extract, transform, load (ETL) applications that run large distributed batch processing involving petabytes of data in Hadoop Eco System
• Deliver research requests and participating in 24x7 on-call support
• Monitor processing, and ensuring timely execution, delivery, and availability
• Detect technical issues, perform root cause analysis, and identify permanent solutions to fix problems as needed
• Set audits and alerts to detect problems, and facilitate maintenance activities
• Plan and execute changes as per instructions, and strictly adhere to the processes and guidelines relating to change, incident, and problem management
• Run problem bridges by collaborating with others from different functional and technical areas and escalating as needed to resolve problems in a timely manner. 
• Responsible for identifying knowledge gaps and providing technical guidance to team members as needed
• Provide updates and contribute to the team’s knowledge repository
• Engage in knowledge transition as well as research and analysis activities to find solutions to various business and technical problems
• Evaluate alternative methods, and present recommendations and justifications to management
• Identify improvement opportunities, and build Automation as well as engaging in performance tuning and data fixing activities
• Participate in and making recommendations to capacity planning activities
• Analyze code, understand business rules, and trace data, while following the process flow to investigate data-related issues
• Perform exports, backups, and data extracts as required from different environments
• Responsible for Data Fixes, Code Hot fixes
• Responsible for Research/Analysis Work to answer questions

Job holder must have flexibility to work in shifts and during weekends and extended hours when needed

Basic Qualifications:

• 2 years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

• 3 or more years of work experience or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• A Bachelor's Degree or higher in Computer Science or a relevant degree in engineering or science is required
• Hand on Experienced  in Hadoop Ecosystem (Kafka, Spark, Scala, Hive, PIG)
• Must have Unix Shell scripting or Python knowledge
• Knowledge in Java
• Ability to solve complex production problem and debug code
• Strong interpersonal, facilitation, and effective communication skills (both written and verbal)
• Strong Team player and ability to collaborate as part of virtual team across the globe
• Incumbent must be a quick learner to learn new technology, tools and ability to cascade the knowledge to others
• Ability to prioritize and perform multiple tasks simultaneously and deliver on time with quality
• You must have strong verbal and written communication Skills
• You must have strong self-motivation, sense of ownership and ability to retain focus under stress during crisis situation
• You must have strong business ethics, self-discipline and trustworthiness to handle sensitive confidential data in live production environment
• Java Certification preferred