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Pune · On-site · 3-6 Yrs · Oct 18
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.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) 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 Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) 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 Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) role at Mastercard?
- This is a mid-level Data Engineer II (Data Warehouse, Big Data, Spark with Scala/Python/Java on Hadoop, Oracle/SQL) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.