Senior SW Engineer - Java/Hadoop, Data Platform
- Bengaluru, Karnataka, India
Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities.
We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.
Visa is a global payments technology company, Tech 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.
The Data organization develops and manages end-to-end technology solutions that create value from our enterprise data through Internal and client-focused information-based services. The successful candidate will be a Senior Software Engineer as part of “Data as a Service” in Data Platform Organization. The primary responsibility would be to do the design, develop, test and support new & existing application software in Big Data platform using Java, Spark, MapReduce, Hive, PIG and other big data technologies.
Visa provides a challenging environment of volume, velocity and variety that is rarely matched. Candidates looking forward to thrive in such environment are encouraged to apply.
Translate business requirements into technical solutions using Big Data/Java technologies etc.
Work with business partners directly to seek clarity on requirements.
Define solutions in terms of components, modules and algorithms.
Engage architects (both enterprise and domain) to ensure overall Enterprise Architecture is inclusive of all stakeholder viewpoints.
Refactor the existing solutions to make it reusable and scalable.
Come up with Coding and Design best practices.
Integrate test frameworks in development process.
Take ownership of production deployment of code.
Become a subject-matter-expert (SME) for various program domains.
Ensure quality of deliveries are near 100% defect free, and meet the SLA of each program
Create technical documentation for all new or modified processes.
Collaborate with different teams on projects spanning across multiple teams.
Thrive in self-motivated internal-innovation driven environment
Adapting fast to new application knowledge and changes
Master/Bachelor degree in Computer Science, Electrical Engineering, Information Systems or other technical discipline; advanced degree preferred.
Minimum of 4+ years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies.
Minimum 3+ years of experience in Hadoop using Core Java Programming, Spark, Scala, Hive, Pig scripts, Sqoop, and any ETL tool experience.
Need exposure to NoSQL database.
Strong knowledge of Database concepts and UNIX.
Expert on SQL skills for data manipulation (DML) and validation (SQL Server, DB2, Oracle).
Expertise in Object Oriented Programming Language – Java / Python.
Experience using CI/CD Process, version control and bug tracking tools.
Experience in handling very large data volume in low latency and batch mode.
Experience with automation of job execution, validation and compares of the data files on Hadoop Env at the field level.
Experience in leading a small team, and be a team player.
Strong communication skills with proven ability to present complex ideas and document in a clear and concise way.
Quick learner; self-starter, detailed and in-depth.
All your information will be kept confidential according to EEO guidelines