Senior Data Engineering

Mastercard
Pune
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Documentation","Analytical thinking","Problem-solving","Collaboration"]

Design, develop, and maintain enterprise-scale data pipelines, platforms, and analytical data products for fraud analytics, machine learning enablement, business intelligence, and operational reporting. Partner with business, product, architecture, and engineering teams to deliver secure, scalable, and compliant data solutions. Build ETL/ELT frameworks, data models and marts, orchestrate workflows, monitor and optimize performance and reliability, and support governance and sensitive-data protection requirements.

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FursaFursa
Mastercard
Mastercard
1 month ago

Senior Data Engineering

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Canonical indexed version, validated from employer's careers page.

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

Job Summary

Design, develop, and maintain enterprise-scale data pipelines, platforms, and analytical data products for fraud analytics, machine learning enablement, business intelligence, and operational reporting. Partner with business, product, architecture, and engineering teams to deliver secure, scalable, and compliant data solutions. Build ETL/ELT frameworks, data models and marts, orchestrate workflows, monitor and optimize performance and reliability, and support governance and sensitive-data protection requirements.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable batch, streaming, and near-real-time data pipelines using cloud data engineering technologies.
  • •Build and optimize enterprise data platforms leveraging Snowflake, Databricks, Spark, Airflow, NiFi, and ADF.
  • •Design and implement robust ETL/ELT frameworks to ingest, transform, validate, and deliver data across business domains.
  • •Develop and maintain data models, data marts, and curated datasets supporting analytics, reporting, AI, and machine learning use cases.
  • •Implement data orchestration, workflow automation, and monitoring—tuning pipelines and platform performance while ensuring data governance, quality, lineage, and compliance.

Key Requirements

  • •Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
  • •6+ years of experience in Data Engineering, Big Data, Data Warehousing, or Analytics Engineering.
  • •Strong experience designing and implementing large-scale ETL/ELT data pipelines.
  • •Hands-on expertise with Snowflake Data Cloud and strong experience with Databricks and Apache Spark.
  • •Advanced SQL development and strong Python programming experience for data engineering and automation.
Experience:6+ yearsBig dataData warehousingAnalytics engineering
Education:Bachelor's
Skills:CommunicationDocumentationAnalytical thinkingProblem-solvingCollaboration
Tech Stack:SnowflakeDatabricksApache AirflowApache NiFiAzure Data Factory (ADF)UDAPSQLPythonSparkAzure Cloud ServicesFile Transfer TechnologiesSplunkDynatraceTerraformSFTPCI/CDDevOpsInfrastructure as CodeData Security PlatformsPCI-DSS

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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