SEND Continuum - Data WARE HOUSE

Pune

Posted:6 days ago

Apply

Job Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

SEND Continuum - Data WARE HOUSE

Data Engineer / Machine Learning Engineer overview-The Data Engineering team builds trusted, scalable datasets and pipelines that power analytics, BI, and machine learning use cases across Mastercard. This role will help design and deliver resilient data pipelines, curated data models, and ML-ready feature datasets while partnering closely with platform engineering, data science, and BI stakeholders. Role-As a Data Engineer / MLE, you will:
  • Design, build, and maintain scalable batch and near-real-time data pipelines.
  • Develop curated datasets and data models that enable reliable analytics and ML workloads.
  • Implement pipeline reliability patterns (monitoring, alerting, retries, performance tuning).
  • Partner with data scientists to enable feature engineering and model operationalization.
  • Ensure secure data handling aligned to enterprise governance and compliance expectations.
  • Drive engineering best practices (code quality, testing, documentation, CI/CD where applicable).

All about you-Essential Skills (Must Have):
  • Strong proficiency in SQL and Python (or Scala) for data engineering.
  • Experience building data pipelines using distributed processing (e.g., Spark).
  • Solid understanding of data modeling (dimensional and/or lakehouse patterns) and data quality concepts.
  • Experience working with cloud data ecosystems (AWS preferred) and object storage / lake patterns.
  • Ability to troubleshoot performance and reliability issues in production pipelines.
  • Strong communication skills and ability to collaborate across engineering and analytics stakeholders.
Nice to have:
  • Experience with Databricks or similar lakehouse platforms.
  • Exposure to ML feature pipelines, model deployment patterns, or MLOps concepts.
  • Experience in payments / banking / regulated environments.
  • Familiarity with data governance tooling (catalog, lineage) and PII handling patterns.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • 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.

Skills Required

Machine Learning Data Engineering Analytics USE Cases Data Science Performance Tuning Quality Testing Ci/cd SQL Python Spark Data Modeling

Learn the skills this job asks for

Free courses, interview questions and practice for each skill.

Job Type

Full Time

Mock Interview

Practice Video Interview with JobPe AI

Start Machine Learning Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
Mastercard logo
Mastercard

IT Services and IT Consulting

Purchase NY

RecommendedJobs for You