Company Description
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.
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Solutions organization supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally. Visa Consulting & Analytics (VCA) Data Science team is a key part of the Global Data Solutions organization, a high-performing team of data scientists, data analysts and data engineers helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative, and advanced analytic solutions. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners.
To support our rapidly growing group we are looking for data engineers who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.
Job Description
Data Engineer role for Asia Pacific Region is based out of Bangalore. We are looking for an individual with deep expertise in big data / data warehousing and can build large-scale data processing systems by using the latest database and data processing technologies. The role will work as part of the project team to support design, development, and delivery of data engineering solutions to the market data science teams and to VISA clients. He / she will take responsibility for building and running data pipelines, designing our local data warehouse, data marts and data frameworks, and catering for different data presentation techniques based on requirements.
Principal Responsibilities
Work as part of the project team to support the design, development, and delivery of data engineering solutions to the market data science teams and to VISA clients adhering to scope and timelines.Create and maintain optimal data pipelines, data marts and architecture(s), based on our Global Technology StackCollaborate with the global data engineering team to adopt global engineering standards in AP region.Develop custom-built packages to support the needs of Data Scientists across the regionIdentify, design, and implement internal process improvements to provide greater scalability to our existing client solutionsPartner with Technology on quarterly planning cycle and support management with relevant metrics to evaluate performance, stability, and reliability of various tools.Continuous focus on improving Infrastructure efficiency by analyzing logs of queries, tuning settings, translating queries if required.Review scripts for best practices, educating user base and building training assets for beginner and intermediate users.Increase consistency of tool usage by developing guidance for specific data science applications and sharing with user community
Qualifications
Basic Qualifications and experience
4+ years of data engineering development and support experience.Good knowledge of distributed data architecture, commonly used BI tools, and approaches/packages used in machine learning buildExpertise in creating production software/systems in Python and/or Scala, and a proven track record of identifying and resolving performance bottlenecks in production systems.Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.Understanding of Payments or Banking Industry will be a plus
Technical Expertise
Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark preferred. Advanced experience in writing and optimizing efficient SQL queries and Python/PySpark scripts; Scala experience will be an added advantage.Expertise in dashboard and report development using visualization tools such as Tableau/MicroStrategyGood understanding of Agile way of working, tools such as JIRA and practical experience of working in Agile teams.Experience in developing production systems incorporating best-in-class software engineering practices such as DevOps, CI/CD, and automation technologiesWorking knowledge of Hadoop ecosystem and associated technologies, e.g., Hive, Apache Spark, MLlib, GraphX, sci-kit, and PandasExperience with APIs, containerized deployments will be an added advantage Good appreciation of cloud-based technologies and data platforms
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.