Jobs
Benefits & Perks
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Learning
•Healthcare
Required Skills
JavaScript
Python
TypeScript
About Us
At Mastercard, we're powering economies and empowering people, building a sustainable economy where everyone prospers.
Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech
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
Senior Software Engineer-3
Job Description Summary:
Senior Software Development Engineer (DW)
Job Posting Title:
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview:
- Mastercard is looking for a Senior Software Engineer to join the Account Level Management(ALM) team in our Pune office that's focused on building ALM Services with Data warehouse skills. The Mastercard Account Level Management platform empowers real-time card level decisioning. As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend.
- Role
o Develop high quality, secure and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO.
o Leverage technologies and solutions to innovate with increasingly large data sets.
o Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration.
o Understand, implement and enforce Software development standards and engineering principles in the Big Data space.
o Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
o Perform assigned tasks and production incident independently.
Skill Requirements:
- MUST Technical
- 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization
- Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data.
- Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage
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- Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.
- Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews• Write and maintain Unix shell scripts, Oracle SQL, PL/SQL, and perform SQL tuning.
- Optimize and troubleshoot Spark applications for performance, scalability, and fault tolerance• Use Git-based version control systems and CI/CD pipelines (e.g., Jenkins).
- Implement and manage HIVE external tables, partitions, and various file formats.
- Work across on-premises and cloud environments (AWS, Azure, Databricks).
- Strong experience with Hadoop ecosystem and Cloudera Data Platform (CDP).
- Optional Technical• Experience of building Nifi pipelines (Preferred)• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan• Strong communication skills - both verbal and written• Ability to multi-task across multiple projects, interface with external / internal resources• Proactive, detail-oriented and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results• Willingness to quickly learn and implement new technologies, participate POC to explore best solution for the problem statement• Experience working diverse and geographically distributed project teams• Education:
- Bachelor's degree in information systems, Information Technology, Computer Science or Engineering or equivalent work experience.
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.
Client-provided location(s): Pune, India
Job ID: Mastercard-22331_R-259156
Employment Type: OTHER
Posted: 2025-09-03T19:17:28
Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
- Virtual Fitness Classes
- Health Reimbursement Account
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Company Outings
- On-Site Cafeteria
- Holiday Events
- Some Meals Provided
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- Stock Purchase Program
- 401(K)
- Company Equity
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Internship Program
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Shadowing Opportunities
Diversity and Inclusion
Employee Resource Groups (ERG)
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About Mastercard

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
Employees
Purchase
Headquarters
$360B
Valuation
Reviews
4.1
15 reviews
Work Life Balance
4.0
Compensation
3.5
Culture
3.5
Career
3.0
Management
3.0
65%
Recommend to a Friend
Pros
Good work-life balance reputation
Competitive compensation packages
Strong benefits and perks
Cons
Recent layoffs and job insecurity
Limited negotiation flexibility on salary
No RSUs for some positions
Salary Ranges
32 data points
Junior/L3
Director
Junior/L3 · Data Engineer
5 reports
$137,800
total / year
Base
$106,000
Stock
-
Bonus
-
$107,900
$166,918
Interview Experience
7 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Behavioral Interview
5
Final Round/Super Day
6
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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