Senior Data Engineer - (On Premises - Hadoop, Spark, Python, SQL)

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

Senior Data Engineer - (On Premises - Hadoop, Spark, Python, SQL)

Who is Mastercard

Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Role : As the Senior Data Engineer for Mastercard's Internal Workplace intelligence platform data lake, you will be the driving force behind the development and execution of cutting-edge data governance strategies and data environment frameworks.

Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams, and establish data-related best practices in alignment with Mastercard standards.

Qualifications :

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience as a Lead / Senior Data Engineer or similar role.
• Deep understanding of data governance principles and data lifecycle management.
• Proficiency in designing and implementing data tools, technologies, and processes.
• Expertise in data engineering, ETL / ELT processes, data warehousing, and data modeling.
• Strong command of data integration techniques and data quality management.
• Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, alteryx, Nifi, SSIS, etc.
• Familiarity with cloud platforms and services, such as AWS, GCP, or Azure.
• Excellent problem-solving skills and ability to provide innovative data solutions.
• Strong leadership skills with a proven track record of guiding and mentoring a team.

All About You :

Attributes :

Responsibilities :

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 :

Skills Required

data engineering , Hadoop, Data Modeling, Alteryx, Ssis, Sql, ELT, Spark, Data Warehousing, Python, Etl