- Bengaluru, Karnataka, India
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
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 Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. 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.
This position will be part of VCA (Visa Consulting & Analytics) function in building and maintaining global data assets and engineering solutions. In this role, you will be responsible for helping to develop a global engineering and solutions team focused in standardized development of Consulting Solutions. You will partner closely with Global stake holders in Visa consulting , data Science and data engineering teams. You will get chance to leverage your strategic planning, business analysis and technical knowledge of data engineering, tools and data architecture solutions. In addition to managing our portfolio of data engineering assets and solutions globally, you will play key roles in building relationships with Consulting partners to develop effective market response strategies. You will also be a hands-on expert able to direct & navigate both data engineering and data science teams to build effective data engineering solutions. The position is based at Visa's offices in Bangalore, India.
Strong & progressive experience working with Global teams & Fortune 500 companies leading large scale implementations of data warehouses and data engineering solutions.
Build and manage a team of talented data engineers with the ability to not only keep up with, but also pioneer, in this space.
Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction.
Exposure to Financial Services/ Payments data analytics and ETL development. Desirable exposure to Marketing, Authorization, Fraud & Chargeback Analytics.
Experience in managing teams implementing ETL pipelines in Spark, Python, HIVE or SAS that process transaction and account level data and standardization of data pipelines.
Experience working with technology and business teams on Data Governance, Data Quality and Data Architecture initiatives.
Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing.
Communicate effectively to all levels of the organization, including executives.
Find opportunities to create, automate and scale repeatable financial and statistical analysis for Visa Consulting and Analytics.
Collaborate with Data Engineering teams in North America and other Global regions to production and maintenance of key data assets.
Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with business customers and leadership team.
12+ yrs. work experience with a Bachelor’s Degree or 10+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics or relevant area.
Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit,Pandas etc.)
Business skills and general qualities:
Good business acumen to orient data analysis to business needs of clients.
Ability to translate data and technical concepts into requirements documents, business cases and user stories.
Good understanding of agile working practices and related program management skills.
Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels
Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
Demonstrated intellectual and analytical rigor, team oriented, energetic, collaborative, diplomatic, and flexible style.
Intellectually curious and continuously striving to learn.
Experience in creating Large scale data engineering pipelines, data-based decision-making and quantitative analysis.
Experience with Visualization Tools like Tableau, Power BI, D3 and exposure to code version control systems (git).
Experience – CICD/ Data Architectures/ Pipelines/ Quality /Code Management.
Exposure to Data Science including Predictive Modeling
Advanced experience in writing and optimizing efficient SQL queries with Python, Spark, Hive, Scala handling Large Data Sets in Big-Data Environments.
Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.
Experience with SQL for extracting, aggregating and processing big data Pipelines using Hadoop, EMR & NoSQL Databases.
Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.
Experience with Unix/Shell and exposure to Scheduling tools like Oozie and Airflow.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.