Job Location: Bengaluru
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.
Team Summary
Visa Consulting & Analytics (VCA) is Visa’s consulting division, serving Visa’s clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. In Asia Pacific (AP), VCA has geographically focused teams and the hub practice teams, which provides expertise in specific industry or functional verticals (Digital, Risk, Business Solutions, Acquiring & Merchant).
What a Manager, Data Engineering does at Visa:
The Manager, Data Engineering role for Asia Pacific Region is based out of Bangalore. We are looking for an expert 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. This is a Pan-regional position and plays a critical role in enabling the data platforms through which Data Scientists, Analysts, and BI Users drive solutions for our Visa clients. Also, the role provides as a bridge between our local end-users and our Visa Technology colleagues in San Francisco, influencing the development of our global data platforms whilst provisioning local tools and technologies as required.
Why this is important to Visa
The Data Engineer is important as the incumbent will take responsibility for building and running data pipelines, designing our local data warehouse and data frameworks, and catering for different data presentation techniques. We are looking for a talented, technical, proactive, energetic, and passionate person who embraces challenges and is a proven problem solver.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
What you will need:
- Minimum of bachelor’s degree or equivalent, qualification in Computer Science or Engineering would be ideal
- 8 – 10 years’ application development and support experience.
- Deep knowledge of distributed data architecture, commonly used BI tools, and approaches/packages used in machine learning build
- Expertise 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.
- Good appreciation of machine learning algorithm design, feature engineering, validation, prediction, recommendation, and measurement.
- Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams.
- Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
- Understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
- Demonstrated ability to incorporate new techniques to solve business problems
- Demonstrated resource planning and delivery skills
- Good communication and presentation skills with ability to interact with different cross-functional team members at varying level
Technical Expertise
- Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark preferred.
- Expertise in dashboard and report development in Tableau
- Experience in developing production systems incorporating best-in-class software engineering practices such as DevOps, Agile development, CI/CD, and scheduling technologies
- Working knowledge of Hadoop ecosystem and associated technologies, e.g., Hive, Apache Spark, MLlib, GraphX, sci-kit, and Pandas
- Advanced experience in writing and optimizing efficient SQL queries and Python scripts, Scala experience will be an added advantage.
- Experience with APIs, containerized deployments will be an added advantage
- Good appreciation of cloud-based technologies and data platforms
- Very strong people/technology project management skills and experience
What will also help:
- Results-oriented with strong problem-solving skills and demonstrated intellectual and analytical rigor
- Good business acumen with a track record in solving business problems through data-driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
- Team oriented, collaborative, diplomatic, and flexible
- Detailed oriented to ensure highest level of quality/rigor in reports and data analysis
- Proven skills in translating analytics output to actionable recommendations and delivery
- Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels
- Exhibits intellectual curiosity and a desire for continuous learning
- Demonstrates integrity, maturity, and a constructive approach to business challenges
- Role model for the organization and implementing core Visa Values
- Respect for the Individuals at all levels in the workplace
- Strive for Excellence and extraordinary results
- Use sound insights and judgments to make informed decisions in line with business strategy and needs
- Ability to allocate tasks and resources across multiple lines of businesses and geographies.
- Ability to influence senior management within and outside Analytics groups
- Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions
Additional Information
Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.
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