Company Careers ·
full-timeSenior Data Engineer, Data Engineering
Mastercard · Pune
Mastercard is a global technology company that operates in the payments industry, providing secure, simple and smart digital transaction solutions for consumers, businesses and governments across more than 200 countries. The Senior Data Engineer role sits within the AI Network Services Team, which focuses on building data‑driven products for risk, security, fraud detection and digital identity. Day‑to‑day work involves ingesting data from multiple sources, aggregating and processing it using platforms such as Cloudera Data Engineering, Cloudera AI, Databricks and AWS to create a unified view of information. The engineer collaborates with product managers, data scientists, platform strategists and technology teams to understand data requirements and deliver pipelines that generate business value. Tasks include manipulating large, high‑dimensional transaction and product datasets, applying Python libraries like Pandas, NumPy and PySpark, writing complex SQL queries, and experimenting with proof‑of‑concepts that integrate new data assets. The role also calls for evaluating metrics, benchmarking results and feeding back insights from clients and internal stakeholders to improve existing solutions. Ideal candidates have strong experience in Python‑based data analysis, Hadoop or Databricks environments, solid SQL skills, familiarity with ETL/ELT tools such as Apache NiFi or Talend, and a background in data mining or machine learning techniques.
Education
- Level: Bachelor's degree
Key Skills
About the Role Senior Data Engineer, Data Engineering role within Mastercard's AI Network Services Team focusing on data unification and curation across multiple data assets. Responsibilities Perform data ingestion, aggregation, and processing to enable insights. Leverage platforms such as Cloudera Data Engineering (CDE), Cloudera AI (CAI), Databricks, and AWS for product engineering solutions. Partner with Product Managers, Data Science, Platform Strategy, and Technology teams to deliver data solutions. Manipulate and analyze high‑volume, high‑dimensional data using various tools and techniques. Identify innovative ideas, deliver proofs of concept, prototypes, and propose new products or enhancements. Integrate new data assets to increase value proposition. Analyze large volumes of transaction and product data to generate actionable recommendations. Collect and synthesize feedback from clients, development, product, and sales teams. Apply metrics, measurements, and benchmarking to complex solutions. Requirements Proficiency in Python with Pandas, Numpy, PySpark, and Impala. Experience with Hadoop and Databricks cloud platforms. Strong SQL skills and knowledge of data mining and machine learning algorithms. Familiarity with ETL/ELT tools such as Apache NiFi, Azure Data Factory, Pentaho, and Talend. Eligibility
Skills for this role
Required skills
Also mentioned in the listing
| Role | Senior Data Engineer, Data Engineering |
|---|---|
| Company | Mastercard |
| Location | Pune |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-13 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Data Engineer, Data Engineering at Mastercard: frequently asked questions
- Who can apply for the Senior Data Engineer, Data Engineering role at Mastercard?
- The listing asks for Bachelor's degree; freshers are welcome.
- What skills does the Senior Data Engineer, Data Engineering role require?
- The listing highlights Python, Pandas, Numpy, PySpark, Impala, Hadoop, Databricks, Cloudera Data Engineering, Cloudera AI, AWS. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Mastercard has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Data Engineer, Data Engineering position remote, hybrid or onsite?
- The listing gives Pune as the location and does not state a work mode.
- What is the application deadline?
- Mastercard has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Data Engineer, Data Engineering role?
- Use the Apply button on this page. It opens the original listing on mastercard.wd1.myworkdayjobs.com, where you submit your application with the company.
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