Visa Data Engineer Jobs India 2026: Spark, ETL & Cloud Roles

Visa Hiring Data Engineer in India | Latest IT Jobs 2026

Exciting news for IT professionals! Visa Careers are opening up with a fresh Data Engineer role in India. This work-from-office position promises stability and growth in one of the world’s leading payment technology firms.

If you’re skilled in data pipelines and big data tools, this could be your next big break. Visa is known for innovative projects in fintech. Don’t miss out on these Latest IT Jobs 2026.

With India’s tech scene booming, roles like Data Engineer offer high demand. Visa’s hiring drive targets experienced talent ready to tackle real-world data challenges. Read on for full details.

About Visa

Visa Inc. is a global leader in digital payments. Operating in over 200 countries, it processes billions of transactions yearly. In India, Visa has a strong footprint with offices in major cities.

The company drives innovation in secure payments and data analytics. Visa employs thousands worldwide, with a growing team in India focused on tech solutions. Its reputation for cutting-edge work attracts top talent.

Visa invests heavily in R&D, especially in AI and data engineering. Indian teams contribute to global products, offering exposure to international projects and leadership opportunities.

Job Overview

• Role: Data Engineer
• Location: India (Work from Office)
• Experience: Typically 3-8 years for such roles
• Employment Type: Full-time, office-based

Key Responsibilities

• Design and build scalable data pipelines for processing large volumes of transaction data.
• Develop ETL processes to integrate data from multiple sources into data warehouses.
• Optimise data storage and retrieval using tools like Hadoop, Spark, or Snowflake.
• Collaborate with data scientists and analysts to ensure data quality and availability.
• Implement monitoring and alerting for data pipelines to maintain reliability.
• Work on real-time data streaming using Kafka or similar technologies.
• Perform data modelling and schema design for efficient querying.
• Troubleshoot and resolve data-related issues in production environments.
• Contribute to cloud-based data solutions on AWS, GCP, or Azure.
• Document processes and mentor junior team members on best practices.

Required Skills and Qualifications

• Strong proficiency in Python, Java, or Scala for data processing.
• Hands-on experience with big data frameworks like Apache Spark and Hadoop.
• Knowledge of SQL and NoSQL databases such as PostgreSQL, MongoDB.
• Familiarity with cloud platforms like AWS or Google Cloud.
• Experience with ETL tools like Apache Airflow or Talend.
• Understanding of data warehousing solutions like Snowflake or Redshift.
• Bachelor’s or Master’s in Computer Science or related field.
• Excellent problem-solving skills and attention to detail.

Expected Salary for Data Engineer in India

Data Engineer salaries in India vary by experience and city. Freshers earn around 8-12 LPA, while mid-level pros with 4-6 years fetch 20-35 LPA. Seniors with 8+ years can command 40-70 LPA or more.

Factors like company size, skills in cloud tech, and location impact pay. Metro cities offer higher packages due to living costs. Data Engineer Salary at top firms like Visa often includes bonuses and stock options.

City-wise: Bangalore leads at 25-45 LPA average. Pune and Hyderabad range 20-40 LPA. Mumbai and NCR see 22-50 LPA, with adjustments for experience and negotiation skills.

Skills That Can Increase Your Salary

• AWS Certified Data Analytics: Boosts pay by 20-30% for cloud data pipelines expertise.
• Google Cloud Professional Data Engineer: High demand for GCP skills adds 15-25% premium.
• Apache Spark Certification: Essential for big data roles, increases offers by 10-20%.
• Databricks Certified Data Engineer: Lakehouse skills command top salaries in modern stacks.
• Kafka Certification: Real-time streaming expertise lifts pay in fintech data roles.
• Python for Data Science (Coursera/Google): Versatile skill opens doors to higher bands.

Why Join Visa?

Visa offers a collaborative culture with global exposure. Employees enjoy cutting-edge projects in payments tech. Career growth is rapid for performers.

Work-from-office setup ensures team synergy. Perks include health benefits, learning stipends, and stock options. Visa’s brand value shines on your resume.

India teams work on impactful innovations. Strong work-life balance and diversity initiatives make it appealing. Join for stability in a dynamic fintech leader.

How to Prepare for the Data Engineer Interview

Start with company research: Study Visa’s data platforms and recent fintech reports. Practice coding on LeetCode for SQL and Python data problems. Focus on system design for scalable pipelines.

Technical rounds test ETL, Spark, and cloud concepts. Expect live coding and case studies on data modelling. HR rounds cover cultural fit and salary expectations.

Mock interviews help: Simulate 4-5 rounds including managerial. Review common questions like “Design a fraud detection pipeline.” Stay updated on Visa’s India initiatives.

Selection Process

Visa typically follows a 4-stage process for Data Engineers. It starts with an online assessment on coding and data skills. Followed by technical interviews on pipelines and tools.

Next is a system design round and managerial discussion. Final HR round seals the offer. The entire process takes 3-6 weeks.

How to Apply

Apply Here: Apply on the Official Website

Visit the link to access Visa’s career portal. Submit your updated resume and cover letter. Track your application status online.

Apply soon as Latest IT Jobs 2026 fill fast. Tailor your profile to match responsibilities.

Frequently Asked Questions

Am I eligible for this Data Engineer role at Visa?

Yes, if you have 3+ years in data engineering with skills in Spark, SQL, and cloud. Bachelor’s in CS or equivalent required. Freshers may not qualify.

What is the expected Data Engineer Salary at Visa India?

Ranges from 20-50 LPA based on experience. Includes bonuses and perks. Negotiate based on your skills and prior pay.

Is this a work-from-home or office job?

It’s a work-from-office role in India. Visa emphasises in-person collaboration for this position.

What key skills does Visa seek for Data Engineers?

Python/Scala, Spark, ETL tools, cloud platforms. Data modelling and pipeline optimisation are crucial.

What is the interview process like?

Online test, 2-3 technical rounds, system design, HR. Focuses on practical data engineering scenarios.

How long until joining after selection?

Typically 1-2 months post-offer. Depends on background verification and notice period.

Is there any bond or service agreement?

Visa usually doesn’t impose bonds. Standard employment terms apply with probation period.

What is the career growth path?

Progress to Senior Data Engineer, Architect, or Lead roles. Global opportunities in fintech data teams.

Disclaimer

This article is for informational purposes only. Job details are sourced from the official job posting. Please verify all details on the official company website before applying. We are not responsible for any changes in job requirements or application process.