Job Location: Bangalore
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 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. We are looking for expertise in data warehousing and building large-scale data processing systems by using the latest database technologies. The Data Engineer takes responsibility for building and running data pipelines, designing our local data warehouse and data frameworks, and catering for different data presentation techniques. The position is based at Visa’s offices in Bangalore, India.
Essential Functions
- Exposure working with Global teams & Fortune 500 companies and possess strong experience working directly in client facing roles.
- Strong understanding of development and implementation aspects of ML/AI, especially on billion-scale datasets. Ability to take small scale developed models as input and implement with requisite configuration and customization, while maintaining model performance.
- Exposure to model management and governance practices. Ability to take decisions around model drift to monitor and refine models continuously.
- Execute and manage large scale ETL processes to support development and publishing of reports, Datamart’s and predictive models.
- Strong Data Analytical and Visualization skills along with experience in self-service reporting tools like Tableau or Power BI with KPIs and facilitate Visa Consulting engagements including data exchange.
- Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
- Build ETL pipelines in Spark, Python, HIVE or SAS that process transaction and account level data and standardize data fields across various data sources
- Build and maintain high performing ETL processes, including data quality and testing aligned across technology, internal reporting and other functional teams
- Create data dictionaries, setup/monitor data validation alerts and execute periodic jobs like performance dashboards, predictive models scoring for client’s deliverables
- Define and build technical/data documentation and experience with code version control systems (e.g. git). Ensure data accuracy, integrity and consistency
- 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.
Basic Qualifications
6 – 8 yrs. work experience with a Bachelor’s Degree or 5+ 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.)
Preferred Qualifications
9+ yrs. work experience with a Master’s or Advanced Degree in an analytical field such as Computer Science, Statistics, Finance, Economics or relevant area.
Technical skills:
- Strong experience in implementing large scale ML/AI models on tabular data on billion-scale data sources. Experience with development of models is a strong plus.
- Strong experience in creating large scale data engineering pipelines, data-based decision-making and quantitative analysis.
- Experience with ML/AI approaches and tools like Tensorflow, Keras, Scikit-learn using Hive/R/SQL/Python/SAS
- Experience with SQL for extracting, aggregating and processing big data Pipelines using Hadoop, EMR & NoSQL Databases.
- Experience with complex, high volume, multi-dimensional data, as well as machine learning models based on unstructured, structured, and streaming datasets.
- Strong Experience with Visualization Tools like Tableau, Power BI, D3 and exposure to code version control systems (git).
- Advanced experience in writing and optimizing efficient SQL queries with Python, Hive, Scala handling Large Data Sets in Big-Data Environments.
- Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.
- Experience with Unix/Shell or Python scripting and exposure to Scheduling tools like Oozie and Airflow.
- Exposure to stream-processing systems like Apache Storm, Spark-Streaming.
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.
Submit CV To All Data Science Job Consultants Across India For Free