If you’re looking to grow your career in Data Engineering, ETL development, SQL optimization, and large-scale analytics, Mastercard has an exciting opportunity at its Pune Global Capability Center (GCC). The company is actively hiring for the role of Data Engineer II-1 (Job ID: R-279726) and applications close on 12 June 2026.
Job Snapshot
| Field | Details |
|---|---|
| Company | Mastercard |
| Role | Data Engineer II-1 (Data Engineer, DPO) |
| Job ID | R-279726 |
| Location | Pune, India |
| Employment Type | Full-Time |
| Apply By | 12 June 2026 |
Why This Role Matters
The opening sits within Mastercard’s T&L Data Delivery team, part of the Services Technology organization. This team helps deliver analytics-driven products and data solutions for a global client base. The role is not limited to writing queries or moving data between systems; it involves participating in enterprise ETL processes, improving data quality, automating routine tasks, and helping deliver robust data solutions across multiple industries.
What You’ll Be Doing
- Build and maintain ETL pipelines. You’ll support the design, implementation, and maintenance of enterprise ETL processes that power data platforms used by global clients.
- Optimize SQL and data processing workflows. A major part of the role involves writing efficient SQL queries, improving database performance, and handling large datasets in a scalable way.
- Support data delivery projects. You’ll work alongside Data Engineers and Analysts to help deliver accurate, timely, and business-ready data solutions.
- Improve data quality and validation. The role includes testing and validating data pipelines, identifying inconsistencies, and helping ensure reliable data flows across systems.
- Automate repetitive processes. Mastercard is looking for engineers who can identify opportunities to streamline and automate routine data tasks.
- Collaborate across global teams. You’ll work with peers, senior engineers, and stakeholders across different time zones, making communication and teamwork important aspects of the job.
- Follow security and compliance standards. Because Mastercard handles sensitive information, adherence to security policies, data protection practices, and regulatory requirements is a core expectation.
Skills Mastercard Is Looking For
The job description emphasizes practical data engineering skills over buzzwords. The strongest candidates are likely to have hands-on experience with the following areas.
| Core Area | Expected Knowledge |
|---|---|
| SQL & Databases | Writing and optimizing complex SQL queries; working with relational databases, especially Microsoft SQL Server. |
| ETL & Data Pipelines | Familiarity with ETL frameworks and maintaining production data workflows. |
| Data Modeling | Understanding database design and scalable data structures. |
| Performance Optimization | Improving processing efficiency for large datasets. |
| Testing & Validation | Ensuring data accuracy, consistency, and pipeline reliability. |
| Version Control & Engineering Practices | Code reviews, collaborative development, and quality-focused workflows. |
Bonus Skills That Can Help
- Databricks
- Apache Spark
- Cloud-based data processing experience
- Data warehousing concepts
- Interest in developer productivity tools such as GitHub Copilot
Education & Background
Mastercard prefers candidates with a BE/B.Tech in a quantitative discipline such as Computer Science, Engineering, Mathematics, Statistics, Econometrics, or Operations Research. An ME/M.Tech is listed as preferred but not mandatory.
What stands out in the posting is the emphasis on quantitative ability, communication skills, and curiosity. The company is looking for engineers who can think critically, break down ambiguous problems, and collaborate effectively—not just execute predefined tasks.
What Makes This Opportunity Attractive?
- Global-scale exposure. You’ll work on data systems that support international clients across multiple industries.
- Strong learning environment. The role touches ETL, SQL optimization, data modeling, validation, automation, and potentially Spark/Databricks, making it valuable for broadening your data engineering skill set.
- Business impact. The team exists to deliver analytics products and decision-support solutions, so your work directly contributes to measurable business outcomes.
- Modern engineering practices. The posting explicitly mentions version control, code reviews, validation practices, and interest in emerging developer productivity tools.
- Career growth within a respected brand. Experience at Mastercard is highly recognizable across fintech, analytics, and enterprise technology organizations.
Important: Deadline Is Close
The job posting states that the application window ends on 12 June 2026. If you’re interested, apply as soon as possible rather than waiting until the final day.
đź“© How to Apply
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Final Thoughts
The Data Engineer II-1 role at Mastercard Pune GCC is a strong opportunity for engineers who want to deepen their expertise in ETL, SQL, data modeling, and enterprise analytics. The combination of global-scale systems, collaborative engineering practices, and exposure to modern data technologies makes it especially attractive for candidates looking to grow beyond basic reporting or scripting work.
If your background aligns with relational databases, data pipelines, ETL processes, and scalable data processing—and you’re excited about solving real-world data challenges in a fintech environment—this is worth applying for before the deadline.
📍 Role: Data Engineer II-1 (R-279726) | 📍 Location: Pune, India | ⏳ Apply by: 12 June 2026
