at Visa
Full TimeVisa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description:
Position Summary:
The Data Engineering role for the VCA Asia Pacific Region, based out of Bangalore. We are looking for an expert with deep expertise in 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. The Data Engineer takes responsibility for building and running data pipelines, designing data warehouse, data marts and data frameworks, and catering for different data presentation techniques. The Data Engineer would be responsible for end to end handling of client requirements and also other data engineering assignments.
Principal Responsibilities E2E responsibility of client requirements for VCA AP. • Create and maintain optimal data pipeline architecture(s), based on our Global Technology Stack • Identify, design, and implement internal process improvements to provide greater scalability to our existing client solutions • Develop custom-built packages to support the needs of Data Scientists across the region • Work with broader business stakeholders to assist clients and consultants with their data and infrastructure needs • Provide support in identifying, implementing and managing new data tools and processes, relevant to data science. • Provide technical product and business support for development of new platforms, tools for data science built using both on-premise and cloud technologies. • Partner 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. Script review for best practices, educating user base and building training assets for beginner and intermediate users. • Policy guidance and administration of data science tools including GIT, ETL schedulers, Hadoop components (Spark/Hive/etc) etc. to ensure optimum utilization and efficiency. • Increase consistency of tool usage by developing guidance for standard toolsets for specific data science applications and sharing with user community
About Global Commercial Payments Platform
We are working on multiple technology stacks and want to add a highly motivated Engineer to our Commercial Payments organization in Foster City, CA. Visa's Commercial Payments organization is responsible for managing Visa's B2B Payment Global adoption on Cross-Border funds movement, innovation agenda and the management of strategic partnerships with critical financial institutions. This group is responsible for defining and building the Non-Card based payment innovation and product for Visa Inc. Globally. This includes:
Distributed-Ledger based Cross border payment platform
Near time Settlement
Enterprise ID stamping to create a digital identity for corporate entities
Hyperledger chain-code development
End-to-End Payment eco-system
Analytics and Data visualization
You can learn more about our work here: Visa B2B Connect Launches in 32 Countries Visa B2B Connect Launches Globally
Essential Functions
Work on emerging technologies, building distributed applications.
Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards.
Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
Partner with Product on implementation strategy.
Basic Qualifications:
2-4 years of relevant work experience with a Bachelor’s Degree in Computer Science or related field or an advanced degree in Computer Science or related field
MS in Computer Science or related field preferred and Qualification in Computer Science or related Engineering ideal.
Preferred Qualifications:
2+ years of experience with distributed software development.
Hands-on experience with all aspects of software development: data, server-side, UI, and open-source software.
Expertise in at least two of the following: Python / SQL /Scala.
Working knowledge of Hadoop ecosystem and associated technologies, e.g., Apache Spark, MLlib, GraphX, etc is a must. Data Science knowledge is a plus (iPython, sci-kit, and Pandas, etc).
Advanced experience in writing and optimizing efficient SQL queries and Python scripts; Scala experience is ideal
Certification in Hadoop (Cloudera or Hortonworks) and Apache Spark, Apache Hive and related technologies.
Knowledge of developing Data Pipeline, including Ingestion, Transformation, Extraction etc. is a must.
Experience in large Data Pipeline handing is a is a must.
Familiar with container strategies and ecosystems such as Docker, Kubernetes is a plus.
Knowledge of cloud architecture and scalable solutions including orchestration
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.
