Senior Data Engineer

ing campaigns. As part of a small, collaborative team, you will work with large-scale datasets to unlock the value of big data for the global marketing team.
The ideal candidate is a hands-on engineer with a strong background in data engineering, a passion for building scalable solutions, and a commitment to driving business impact.

Role:
• Drive the evolution of data-driven marketing at Mastercard with a strong emphasis on data engineering and data science, ensuring advancements in data quality, scalability, and efficiency.
• Develop and optimize methods and algorithms to generate precise, high-quality data at scale, including the creation and maintenance of feature stores, analytical stores, and curated datasets to enhance data integrity and usability.
• Solve complex data challenges involving multi-layered datasets through the development of data pipelines, libraries, and frameworks.
• Provide support for deployed data applications and analytical models, identifying data issues and guiding resolutions.
• Ensure compliance with data governance policies by implementing or validating data lineage, quality checks, classification, and more.
• Integrate diverse data sources-including real-time, streaming, batch, and API-based data-to enrich platform insights and drive data-informed decision-making.
• Experiment with new tools to streamline the development, testing, deployment, and operation of data pipelines.
• Collaborate with cross-functional teams to identify high-priority challenges and develop innovative solutions.
• Establish and enforce best practices for data engineering, including coding standards, code reviews, and documentation.
• Ensure data security and privacy compliance by implementing appropriate protection measures for sensitive data.

All About You:
• Extensive hands-on experience in data engineering, with a strong emphasis on building and optimizing solutions using Databricks as a primary development environment.
• Proven ability to implement multiple end-to-end data warehouse projects in Big Data ecosystems, delivering scalable, production-ready data solutions.
• Proficiency in application development frameworks such as Python, Java, and Scala, with a preference for candidates who bring a software engineering background in backend development.
• Experience designing and managing complex data workflows using orchestration tools like Apache NiFi, Apache Airflow, or similar platforms.
• Expertise in performance tuning for database schemas, SQL queries, ETL processes, and associated scripts.
• Demonstrated success working in Agile team environments and contributing to iterative development processes.
• Hands-on experience in developing and deploying data-driven or machine learning applications at scale, including data ingestion, feature engineering, modeling, evaluation, and monitoring.
• Skilled in developing integrated cloud applications, particularly with services such as Databricks, Azure, AWS, or GCP.
• Strong analytical and problem-solving skills, with the ability to diagnose complex data challenges and deliver effective solutions.
• Excellent communication and interpersonal abilities, with a collaborative mindset and experience working with cross-functional, geographically distributed teams.
• Bachelor's degree in Computer Science, Software Engineering or a related field; equivalent practical experience will also be considered.

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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.