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Sr. Data Engineer

Visa

Bengaluru, Karnataka, IndiaOn Site

Original Job Summary

About Visa

Visa is a world leader in payments and technology, processing over 259 billion payment transactions in more than 200 countries, connecting consumers, merchants, financial institutions, and government entities safely.

Job Overview

As a Sr. Data Engineer at Visa, you will be an integral member of our Technology Organization. This team of problem solvers and innovators works on complex distributed systems to shape the digital future of payments. You will develop scalable data pipelines, ETL processes, and data warehousing solutions to improve data accessibility and security.

Key Responsibilities

  • Develop and maintain scalable data pipelines and ETL processes.
  • Ensure data security and compliance with best practices.
  • Utilize tools such as Spark, Hadoop, Hive, Scala, Python, and SQL.
  • Apply Agentic AI and Generative AI models including GPT-3 and GPT-4.
  • Create prototypes and influence senior leadership.
  • Collaborate with Product, Data Analysts, and Agile/Scrum teams.

The Skills You Bring

  • Curiosity and passion for challenging, global projects.
  • Expertise in general development languages and data technologies.
  • Experience in building and deploying scalable platforms.
  • Drive to continuously learn new data models and methods.
  • Ability to provide actionable insights from complex data.

Qualifications

  • Basic: 2+ years with a Bachelor’s degree OR 5+ years relevant experience.
  • Preferred: Advanced degree or additional work experience with strong leadership.

Key skills/competency

  • ETL
  • Data Pipelines
  • Big Data
  • Hadoop
  • Spark
  • Python
  • Scala
  • AI Models
  • Data Warehousing
  • Agile

How to Get Hired at Visa

🎯 Tips for Getting Hired

  • Research Visa's culture: Review mission, values, and recent projects.
  • Customize your resume: Highlight scalable data pipeline experience.
  • Showcase technical skills: Emphasize Spark, Hadoop, and Python expertise.
  • Prepare for interviews: Practice explaining complex data solutions.

📝 Interview Preparation Advice

Technical Preparation

Review Hadoop and Spark fundamentals.
Practice building scalable ETL pipelines.
Brush up on Python and Scala programming.
Study AI model integration basics.

Behavioral Questions

Describe a challenging project experience.
Explain your teamwork in cross-functional projects.
Discuss handling tight deadlines.
Share your approach to continuous learning.