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Pune · Hybrid · 10-13 Yrs · 4 days ago
Financial Transaction Processing · 10000+ Employees · Purchase, US
As a technology company in the global payments business our payments processing network, connects consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories.
Hiring: Engineering
What employees say
+ Good culture and exposure along with work life balance
− Nothing particular bad as such
More reviews on the company profile.
Interview experience · Product Manager
I completed the entire interview loop for a Product Manager role at Mastercard. All technical and managerial rounds went exceptionally well, and the interviewing panel was professional and engaging. Following the final r
Average difficulty · India · 491 reports
More interview insightsJob description
Overview
Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
Qualifications
- Strong knowledge of data products, data contracts, schema evolution, compatibility, lineage, quality, observability, and SLA/SLO design.
- Ability to produce architecture decision records, reference architectures, technical standards, reusable patterns, and golden paths adopted across teams.
- Strong cloud data-platform experience across AWS, Azure, or GCP, including AWS S3, IAM, Glue, EKS, networking, and cloud-native data services; and Azure ADLS, Microsoft Entra ID, Azure RBAC, Key Vault, Data Factory, Databricks, AKS, and analytics services.
- Hands-on architecture experience with Databricks, Snowflake, Spark, Kubernetes, Iceberg, Delta Lake, Parquet, Unity Catalog, AWS Glue Data Catalog, open catalog patterns such as Apache Polaris, and distributed-query concepts using Trino or Spark.
- 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.
- Strong foundations in modern data architectures such as lakehouse and medallion, data lifecycle management, data modeling, database design, distributed systems, and performance optimization.
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Principal Data Engineer (Data Platforms) at Mastercard?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mastercard may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Principal Data Engineer (Data Platforms) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Principal Data Engineer (Data Platforms) remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Principal Data Engineer (Data Platforms) role at Mastercard?
- This is a principal Principal Data Engineer (Data Platforms) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.