Data Engineer 2 - Product Data & Analytics
@ Mastercard

Gurugram, Haryana, India
$130,000
On Site
Full Time
Posted 5 days ago

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Job Details

Our Purpose

Mastercard powers economies and empowers people in over 200 countries and territories worldwide. Their unique blend of digital payments makes transactions secure, simple, smart and accessible.

Title And Summary

Data Engineer 2 - Product Data & Analytics

Overview

The Product Data & Analytics team builds internal analytic partnerships focusing on business health, portfolio and revenue optimization, initiative tracking, new product development and go-to-market strategies. This role is about leveraging data assets, driving data-based decisions, and supporting global analytics efforts across 6 continents.

Role & Responsibilities

  • Develop and maintain large-scale data pipelines for analytics and reporting.
  • Support cross-functional projects with advanced data engineering and analysis techniques.
  • Build and maintain data models, ETL processes, automation systems, datalakes, and data warehouses.
  • Translate business requirements into technical solutions with timely, quality deliverables.
  • Create reusable processes for data ingestion, transformation, quality, and testing.
  • Apply rigorous quality control, data validation, and cleansing to data sources.
  • Recruit, train, and supervise data engineers and analysts.

All About You

Experience in data engineering, data management, and product development is essential. Proficiency with SQL, building data pipelines, and working with platforms such as Databricks, Hadoop, AWS, or Azure is required. Strong technical, analytical, and communication skills are essential to interact with internal stakeholders and management.

Education & Additional Competencies

Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Mathematics, or Statistics is required. Competencies include excellent quantitative, technical, oral/written communication, project management, and problem solving skills.

Corporate Security Responsibility

Adhere to Mastercard’s security policies, ensure data confidentiality and integrity, report breaches, and complete all mandatory security trainings.

Key skills/competency

  • Data Pipelines
  • ETL
  • SQL
  • Data Modeling
  • Analytics
  • Cloud Platforms
  • Data Warehousing
  • Big Data
  • Python
  • Problem Solving
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How to Get Hired at Mastercard

🎯 Tips for Getting Hired

  • Research Mastercard's culture: Study their mission, values, and news articles.
  • Customize your resume: Highlight data engineering projects and analytics skills.
  • Prepare for technical tests: Practice SQL, Python, and ETL scenarios.
  • Network with employees: Connect on LinkedIn and attend industry webinars.

📝 Interview Preparation Advice

Technical Preparation

Practice complex SQL queries on large data.
Study ETL and data pipeline frameworks.
Review cloud platforms like AWS or Azure.
Experiment with Databricks and Hadoop environments.

Behavioral Questions

Describe a time you solved a data challenge.
How do you manage project deadlines?
Discuss teamwork in cross-functional projects.
Explain adapting to shifting project requirements.

Frequently Asked Questions