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Manager - Data Engineering

mastercard

New
🇬🇧 English
SQL Databricks Cloudera Hadoop SQL Server big data technology stack

Job description

About the role

Mastercard is looking for a Manager of Data Engineering to lead the Product Data & Analytics team. You will shape large‑scale data pipelines and analytical capabilities that support global decision‑making across products, markets and services.

Key responsibilities

  • Architect, develop and maintain high‑volume data pipelines for analytics and reporting.
  • Lead cross‑functional projects that turn raw data into strategic insights.
  • Design and manage data models, ETL processes, data lakes and data warehouses.
  • Translate business requirements into technical specifications and deliver on time.
  • Implement reusable processes for data ingestion, transformation, quality and testing.
  • Apply data validation, cleansing and quality‑control procedures.
  • Recruit, train and supervise data engineers and analysts.

Required profile

  • Proven experience in data engineering, data management and quantitative analysis.
  • Background in financial institutions or payments is a plus.
  • Strong business mindset with the ability to convert insights into strategic opportunities.

Required skills

  • Advanced SQL for large data sets.
  • Experience building data pipelines, lakehouses and warehouses.
  • Proficiency with Databricks.
  • Knowledge of Cloudera Hadoop.
  • Familiarity with SQL Server.
  • Understanding of big‑data technology stacks.

Questions fréquentes

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Source : ats:workday

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Published 3 weeks ago

Expires 1 month from now

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