Mastercard

Senior Data Engineer

Job description

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title And Summary

Senior Data Engineer

Overview

We are seeking a highly skilled and motivated Data Analyst with a strong background in Tableau visualization, SQL, Snowflake, Alteryx, and Python. The ideal candidate will have a proven track record of leveraging these tools to extract meaningful insights from complex datasets. The successful candidate should possess excellent statistical and analytical skills, as well as a keen attention to detail.

Role

  • Utilize Tableau to create visually appealing and insightful dashboards that effectively communicate complex data trends and patterns.
  • Work with stakeholders to understand their data requirements and translate them into actionable visualizations.
  • Leverage SQL and Snowflake to extract, transform, and load (ETL) data from various sources into a structured format for analysis.
  • Develop and optimize SQL queries for efficient data retrieval and manipulation.
  • Utilize Python for data analysis, automation, and scripting tasks.
  • Collaborate with the development team to integrate analytical solutions into existing systems.
  • Apply statistical techniques to analyze large datasets and derive meaningful insights.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Implement data quality checks and validation processes to ensure the accuracy and reliability of analytical results.
  • Troubleshoot data issues and collaborate with relevant teams to address data quality concerns.
  • Manage medium-sized project/initiatives, or lead a segment of a larger initiative


All About You

  • Bachelor’s or master’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, or related discipline).
  • In-dept knowledge of Data Visualization technics
  • Hands on experience with Tableau, Alteryx and/or similar Tools.
  • Knowledge of Snowflake and MongoDB platforms
  • Oracle, MySQL, PostgreSQL database knowledge is preferred.
  • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
  • Excellent communication skills to effectively convey insights and findings to both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively in a fast-paced environment.


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.

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