Sr. Data Engineer
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
Visa Corporate IT (CIT) group has embarked on a major transformation journey. We are transforming ourselves into a true engineering organization where we put customer experience and end user support first. As part of this strategy, we are consolidating several of our Operational functions into a single area focused on providing world-class operational support to our End users. Visa's Engineering, Applications and Analytics team is looking for curious, creative, and technology experts to join our growing team. We focus on delivering and supporting integrated platforms that enables Visa's finance applications, which are used by Visa business partners to service Visa clients globally. We also develop analytics and reporting by using revenue data.
The successful candidate is expected to be expert in platform deployed on linux systems. The selected candidate will be fully responsible for both service delivery and operational excellence of services built using Hadoop technologies.
Responsibilities:
- Responsible for understanding requirements, design, involved in development, deployment, and on-going enhancements.
- Data Integration, Processing & Governance
- Data Storage and Computation Frameworks, Performance Optimizations
- Analytics & Visualizations
- Data Management Platforms
- Implement scalable architectural models for data processing and storage
- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode
- Build functionality for data analytics, search and aggregation.
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
Must have experiences:• Overall 5+ years of IT experience in Data related technologies
• Experience in Python, spark, Hive, SQL and Unix
• Experience testing software components that utilize APIs and relational databases
• Experience with unstructured data (json, xml)
• Persistence: Demonstrates tenacity and willingness to go the distance to get something done.
• Proactivity: Resourceful, has grit, and a positive “can do” attitude, acts without being told what to do.
• Communication: Communicates information, ideas, and concepts clearly.
• Teamwork: Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
• Analytical skills: Likes learning and learns quickly.
• Attention to Detail: Does not let important details slip through the cracks or derail a project.
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.Tags: APIs Data Analytics Data management Engineering Finance Hadoop JSON Linux Python RDBMS Spark SQL Testing Unstructured data XML
Perks/benefits: Career development
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