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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 Data Engineering and Technology function in building and maintaining global data assets and issuer solutions. We are looking 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, data marts and data frameworks, and catering for different data presentation techniques. The position is based at Visa’s offices in Bangalore, India.
Essential Functions
- Implementation of applications utilizing Big Data Hadoop infrastructure and services under the supervision/collaboration of senior data engineer.
- Execute and manage large scale ETL processes to support development and publishing of Datamarts, Dashboard and reports and Predictive models.
- Build and develop ETL pipelines in Spark, Python, HIVE that process transaction and account level data and standardize data fields across various data sources.
- Quality control of data assets to ensure the data loaded across different steps in the data pipeline are reconciled.
- Collaborate with cross-functional teams across geographies to understand data flows and processes to enable design and creation of the best possible solutions to each engineering challenge.
- Provide quality data solutions in a timely manner and be responsible for data governance and integrity while meeting objectives and maintaining SLAs.
- Build self-service tools and utilities.
- Flexible approach to analyzing technical issues and clearly communicating recommendations/solutions with stakeholders in an ever-changing environment.
- Working experience in an agile methodology on 2-4 week sprint deliverables
Basic Qualifications
4+ yrs. work experience with a Bachelor’s Degree or 2+ 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, Apache Spark, Python & Airflow
Business skills and general qualities:
- Ability to understand business requirements of the data science business.
- 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.
Technical skills:
- 3+ years professional experience in building robust data pipelines and writing ETL/ELT code (Python, Hive, Spark)
- 2+ years of experience working with scheduling tools (Airflow, Oozie) or building data processing orchestration workflows
- 3+ years of hands-on experience working with large scale data ingestion, processing, and storage in the Hadoop ecosystem
- Experience in writing and optimizing SQL queries in Big data environment.
- Experience working in Linux/Unix environment and exposure to command line utilities.
- Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.
- Experience working in building and integrating the code in the defined CI/CD framework using git
- Preferred experience with Visualization Tools like Tableau, Power BI and D3
- Exposure to machine learning models based on unstructured, structured, and streaming datasets.
- Strong communication skills
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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