About Visa:

Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company; technology is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

Distributed Apps Operations is a globally distributed department of over 240 talented engineers within Visa’s Technology & Operations organization. We are The Last Line of Defense for Visa to deliver Visa Values to its stakeholders thru 600+ products and services that we maintain 24x7 to ensure every transactions matters and are always available on time with good quality.

The Lead System Engineer for Big Data Platform will report directly to the Senior Director of Data Platform Operations. As a lead to the team – you will be driving engineering build and operational supports of critical Big Data Clusters and ensure the stability of the platform by performing proactive maintenances, automations and driving complex cross platform problems to resolution. You will also ensure OLAs and SLAs and will collaborate with Development and Product teams to identify opportunities to improve and optimize the overall experience.  As a technical lead to the team, you need to demonstrate technology expertise and deep architectural knowledge to help guide the team to perform well. The role requires staying on top of the technology and training other team members to adopt new technology seamlessly as the team help to build and run new technology. The role requires working knowledge of production support processes such as incident/change/problem management, call triaging, escalation procedures and such. The role will also demand the ability to write and articulate business cases or performance reports to various stakeholders.

• 7+  years hands-on experience in large distributed production environment.

• 5+ years hands on experience in AIX/Sun Solaris/Red Hat environment.

• 3 years of experience in Performance Tuning, Data Fixing and Workload Automation.

• A bachelor degree in engineering (Computer Science, Electronics, etc.) degree required.

• Have good working experience on Big Data Environment using Hadoop, HBase, Spark, Kafka and Eco system tools.

• Minimum Years of experience in Big Data Production System (Admin, Development experience Must-to-have)

• Should be able to provide reporting solutions in Big Data Platform

• Strong hands-on big data development experience including tuning your solution, debugging, performance testing etc., is required

• Good to have working experience on Big Data Ecosystem (mainly in HIVE, Impala, Sqoop, Pig, flume, Hbase, Map Reduce etc..) development 

• Detect and Resolve Problems code or Infra related issues by doing root cause analysis.

• Experience in 24X7 follow the sun model is preferred.

• Strictly adhere to the processes and guidelines.  

• Knowledge Transition from/to others.

• Research/Analysis Work to answer questions.

• Identify improvement opportunities and Should have very good coding and troubleshooting skills.

• Strong Team player and ability to collaborate as part of virtual team across the globe.

• Ability to drive problem bridges collaborates with others from different functional and technical areas and escalates timely to get help to resolve problems within time.

• Strong process adherence to follow change, incident and problem management processes.

• Ability to identify knowledge gaps and provide technical guidance/mentoring to others to help grow talent Incumbent must be a quick learner to learn new technology, application or tools and ability to cascade the knowledge to others.

• S/he must have the ability to research solutions to various business and technical problems, evaluate alternatives and be able to present recommendations and justifications to management.

• End-to-end architecture knowledge in Big Data Hadoop Platform(Must-to-have)

• Working knowledge on Unix Shell Script, Java and Scala (Preferred).

• Hadoop Development Certification and Hadoop Admin Certification (Preferred)

• Training in Apache Kafka (Preferred)

• S/he must have strong verbal and written communication skills.

• Job-holder must have flexibility to work extended hours when needed.

• S/he must have strong self-motivation, sense of ownership and ability to retain focus under stress during crisis situations.

• S/he must have strong business ethics, self-discipline and trustworthiness to handle sensitive confidential data in live production environment.

All your information will be kept confidential according to EEO guidelines.