Senior Data Engineer

Mastercard
Pune
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsSkills: ["Mentorship","Collaboration","Customer-centric development","Analytical problem-solving","Process improvement"]

Lead the technical design and development of an Analytic Foundation within Mastercard’s Data & Services team. Build and maintain analytics and data models that power scalable, performant products exposed through APIs, supporting portfolio optimization and ad insights. Work with Product Managers and Customer Experience Designers to scope features, design responsive UIs, and deliver end-to-end data flows from ingestion and feature engineering through modeling, tuning, monitoring, and evaluation.

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FursaFursa
Mastercard
Mastercard
4 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead the technical design and development of an Analytic Foundation within Mastercard’s Data & Services team. Build and maintain analytics and data models that power scalable, performant products exposed through APIs, supporting portfolio optimization and ad insights. Work with Product Managers and Customer Experience Designers to scope features, design responsive UIs, and deliver end-to-end data flows from ingestion and feature engineering through modeling, tuning, monitoring, and evaluation.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Scope, design, and implement complex features for analytics and scalable applications.
  • •Build and maintain analytics and data models to enable performant, scalable products.
  • •Design and implement intuitive, responsive UIs that help issuers understand data and analytics.
  • •Ensure high-quality code by writing and reviewing performant, well-tested code.
  • •Mentor junior engineers and collaborate with Product Managers and Customer Experience Designers to build new modules and features.

Key Requirements

  • •7+ years of full stack engineering experience in an agile production environment.
  • •Experience leading the design and implementation of large, complex features in full-stack applications.
  • •Ability to move between business use cases, data management, and technical teams to identify technical solutions.
  • •Experience with predictive analytics, machine learning, advanced statistics, and other data techniques for analyses.
  • •High proficiency with Python or Scala, Spark, Hadoop tools (Hive, Impala, Airflow, NiFi, Scoop), and SQL; experience building production data-driven applications and ML systems at scale.
Experience:7+ yearsBig dataMachine learningPredictive analyticsAnalyticsPayments
Education:
Skills:MentorshipCollaborationCustomer-centric developmentAnalytical problem-solvingProcess improvement
Languages:English
Tech Stack:PythonScalaSparkHadoopHiveImpalaAirflowNiFiScoopSQLJavaSpring Boot.NETC#ReactReduxTypeScriptSQL Server

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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