Staff Data Engineer – Analytics
Bengaluru, India
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany Description
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.
Job Description
Verifi a Visa entity operates a network enabling data sharing among Acquirers, Merchants & Issuers for fraud prevention, dispute prevention and revenue recovery. Below are the key product solutions which are managed by this technology team .
Card Holder Dispute Resolution Network (CDRN) - Resolve pre-dispute cases directed by participating CDRN issuers.
Intelligence Suite - Risk management platform that allows merchant to customize services to protect their business, gain greater customer insights and seamlessly keep pace with emerging fraud threats
The Verifi reporting and analytics team is responsible for all facets of architecture, software development and production support of data pipelines, ETL process, reporting and analytics system.
The reporting and analytics team support Visa's Business users in Billing, Client Services, Issuer Processing and Global Contact Center Teams in providing access to data and insights from multiple applications.
As a Staff Data Engineer supporting reporting and analytics group, you will be responsible for mentoring the analytics talent, keeping the team highly engaged and motivated while delivering exceptional results. Your ability to work across functions and teams will allow you to drive results and foster the right culture and environment to achieve Engineering Excellence and Innovation. You will be responsible for working with product development, quality engineering, security engineering, enterprise operations and other internal and external technology partners to deliver products for business integration & enablement.
Responsibilities
- Work with Business stakeholders to understand Business requirements and desired business outcomes
- Understand OLTP application and data, gain functional understanding and work on conceptual design of data pipelines and Dashboards/reports.
- Assist in scoping and designing Analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.
- Build complex dashboards/reports using the Power BI, Tableau and SSAS.
- Build and support various ad-hoc reports generated from heterogeneous database.
- Ensure project delivery within timelines and budget requirements.
- Perform other tasks like researching new data sources, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis.
- Build monitoring and alerting for the reporting and analytics system.
- Seek prospects for consolidating various reporting systems and build centralized reporting system that caters various needs.
- Integrate reporting system with Jenkins for automated deployment.
- Find opportunities to create, automate and scale repeatable analysis or build self-service tools for business users
- Present analysis results or insights from data to Business stakeholders
- Execute data engineering projects ranging from small to large either individually or as part of a project team
- Support, debug, and fix issues in Production
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.
Qualifications
• 10 years of work experience with a bachelor’s degree or at least 8 years of work experience with a master’s degree• Hands on experience in building analytical report dashboards using Microsoft Technologies (SQL Server, Power BI, Analysis services) to solve business problems
• Strong Data analysis and SQL expertise and understanding of DWH data models required
• Work experience in the ETL tool like clover is preferred along with the exposure to Java.
• Experience with data visualization and business intelligence tools like Power BI, Tableau or other BI tools required.
• Good to have the exposure to the data replication tools like Qlik replicate.
• Experience using DAX functions, building Power BI data models required
• Experience with embedding dashboards in Power apps, Power Automate, Azure Cloud components nice to have
• Experience working in a scrum team owning end to end solutions
• Presentation skills and good communication skills presenting insights to Business is highly desired.
• Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is nice to have
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required.
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients.
• Demonstrated analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style.
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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Business Intelligence Clustering Data analysis Data governance Data Mining Data pipelines Data visualization Engineering ETL Java Pipelines Power BI Qlik Scrum Security SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Flex hours
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