About the job
Full details, eligibility and the selection process are available on the company's careers page.
Mastercard
Data Engineer II
Posted 3 weeks ago · Updated 31 Oct 2026
- Experience
- Any experience
- Location
- Navi Mumbai, India
- Job type
- Full-time
- Work mode
- On-site
Complete details and how to apply
Job Details
| Detail | Information |
|---|---|
| Company | Mastercard |
| Job Title | Data Engineer II |
| Team | Open Finance Cloud Data Solutions |
| Category | AI & Data |
| Location | Navi Mumbai, India (400708) |
| Job Type | Full-time |
| Experience Required | Not specified |
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with its customers, Mastercard is helping build a sustainable economy where everyone can prosper. It supports a wide range of digital payment choices, making transactions secure, simple, smart, and accessible. Its technology and innovation, partnerships, and networks combine to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential.
Overview
The Open Finance Cloud Data Solutions team is looking for a Data Engineer II to help build and support scalable data products and platforms that power analytics, reporting, and business insights across Mastercard.
The ideal candidate is passionate about data, highly motivated, intellectually curious, analytical, and enjoys solving complex technical problems. This role will work closely with engineering, business intelligence, and business partners to deliver reliable, high-quality, and well-governed data solutions.
Role
In this position, you will:
- Design, develop, and support data pipelines and data products on modern cloud data platforms.
- Partner with engineering, BI, and business teams to understand requirements and deliver scalable data solutions.
- Build and maintain data transformations, data models, and reporting datasets.
- Monitor, troubleshoot, and improve the performance and reliability of production data processes.
- Contribute to data governance, data quality, and documentation standards.
- Participate in code reviews and support engineering best practices across the team.
- Continuously identify opportunities to improve processes, tools, and data capabilities.
All About You
The ideal candidate for this position should:
- Have experience developing and supporting data pipelines and data transformations.
- Possess strong SQL and data modeling skills.
- Be familiar with cloud-based data platforms and tools such as Databricks, Snowflake, dbt, Spark, or similar technologies.
- Have an understanding of data warehousing, data governance, and data quality concepts.
- Be skilled at troubleshooting technical problems and delivering sustainable solutions.
- Be a strong communicator who can work effectively with technical and non-technical stakeholders.
- Be self-motivated, curious, and eager to learn new technologies and approaches.
- Always look for opportunities to improve processes and deliver better outcomes for customers and partners.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices.
- Ensure the confidentiality and integrity of the information being accessed.
- Report any suspected information security violation or breach.
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Original Job Posting (Source Data)
Data Engineer II Location: Navi Mumbai, India, 400708 Category: AI & Data Job Type: Full time Job Id: R-287943
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary Data Engineer II
Overview The Open Finance Cloud Data Solutions team is looking for a Data Engineer II to help build and support scalable data products and platforms that power analytics, reporting, and business insights across Mastercard.
The ideal candidate is passionate about data, highly motivated, intellectually curious, analytical, and enjoys solving complex technical problems. This role will work closely with engineering, business intelligence, and business partners to deliver reliable, high-quality, and well-governed data solutions.
Role In this position, you will:
- Design, develop, and support data pipelines and data products on modern cloud data platforms.
- Partner with engineering, BI, and business teams to understand requirements and deliver scalable data solutions.
- Build and maintain data transformations, data models, and reporting datasets.
- Monitor, troubleshoot, and improve the performance and reliability of production data processes.
- Contribute to data governance, data quality, and documentation standards.
- Participate in code reviews and support engineering best practices across the team.
- Continuously identify opportunities to improve processes, tools, and data capabilities.
All About You The ideal candidate for this position should:
- Have experience developing and supporting data pipelines and data transformations.
- Possess strong SQL and data modeling skills.
- Be familiar with cloud-based data platforms and tools such as Databricks, Snowflake, dbt, Spark, or similar technologies.
- Have an understanding of data warehousing, data governance, and data quality concepts.
- Be skilled at troubleshooting technical problems and delivering sustainable solutions.
- Be a strong communicator who can work effectively with technical and non-technical stakeholders.
- Be self-motivated, curious, and eager to learn new technologies and approaches.
- Always look for opportunities to improve processes and deliver better outcomes for customers and partners.
Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Disclaimer: Job details are based on the listing published by Mastercard. Please verify the latest requirements, salary, and availability on Mastercard's official careers site before applying.
Interview prep · Software Engineer
How to prepare for this interview
Software engineering interviews test whether you can break a problem down, write correct code under time pressure and explain your thinking. Expect data structures and algorithms, core CS subjects and questions on the projects in your resume.
Typical selection process
-
1
Online assessment
Two or three coding problems on a platform like HackerRank, often with MCQs on CS fundamentals and aptitude.
-
2
Technical round 1
Data structures and algorithms on a shared editor or whiteboard. Think aloud.
-
3
Technical round 2
Projects, OOP, DBMS, operating systems and networking. For experienced roles, basic system design.
-
4
Managerial / HR
Behavioural questions, team fit and offer discussion.
Rounds vary between companies. Mastercard may combine or skip some of them.
Questions to start with
Open a question to see what the interviewer is looking for.
Technical What is the difference between an array and a linked list? When would you choose each?
How to answer:
Arrays give O(1) index access and are cache friendly; linked lists give O(1) insert or delete at a known node. Pick based on the access pattern.
Technical Explain the four pillars of OOP with an example.
How to answer:
Encapsulation, abstraction, inheritance and polymorphism. Use one running example such as a payment system with different payment methods.
HR Walk me through your final year project.
How to answer:
Explain the problem, your exact contribution, the tech you chose and why, and one thing that went wrong and how you fixed it. Interviewers dig into this, so know every line you claim.
This guide is written by the JOBSPOT 360 team from common interview patterns for this kind of role. It is not provided by Mastercard, and the actual questions may differ.
Frequently asked questions
Can freshers apply for the Data Engineer II role at Mastercard?
Yes. The role accepts candidates with Any experience of experience, so freshers can apply.
What is the salary for this job?
Mastercard has not disclosed the salary. You can ask about it during the HR round.
Where is the job located? Is it remote?
This is an on-site role in Navi Mumbai, India.
What skills are required for this job?
The listing mentions SQL, Databricks and Snowflake. Expect interview questions on each of them.
What is the last date to apply?
No deadline is listed. Openings like this can close once enough applications come in, so apply early.
How do I apply?
Select "Apply on company site" on this page. It opens Mastercard's official careers page, where you submit your application. JOBSPOT 360 does not collect applications and never charges a fee.
