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Gurugram · On-site · 3-5 Yrs · Nov 1
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, Finance and accounts, Sales
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
Role Responsibilities: • Data Engineering & Pipeline Development: Develop and maintain robust data pipelines to support the value quantification process.
Responsibilities
- Proficiency in data engineering tools and techniques to develop and maintain data pipelines.
- Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx.• Advanced SQL Skills: Strong skills in SQL for querying and managing large datasets.
- Experience with database management systems and data warehousing solutions.• Programming Proficiency:
- Knowledge of programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development.• Business Intelligence and Reporting:
- Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, AI/ML, or an MBA are preferred.
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Job application FAQ
Last updated 6 November 2026
- How do I apply for Senior Analyst, Big Data Analytics & Engineering 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 Senior Analyst, Big Data Analytics & Engineering 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 Senior Analyst, Big Data Analytics & Engineering remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Senior Analyst, Big Data Analytics & Engineering role at Mastercard?
- This is a senior Senior Analyst, Big Data Analytics & Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.