Data Engineer AI/ML

This role focuses on designing, building, and maintaining robust data pipelines and infrastructure to support advanced analytics and machine learning initiatives. The ideal candidate will possess a strong understanding of data engineering principles, experience with cloud-based platforms, and a passion for leveraging data to drive business insights.

Key Responsibilities:

Develop and maintain scalable data pipelines for ingestion, processing, and storage of large datasets.
Design and implement data models and schemas to support analytical and machine learning use cases.
Collaborate with data scientists and engineers to deploy and monitor machine learning models.
Ensure data quality and integrity through data validation and monitoring processes.
Optimize data infrastructure for performance and cost-effectiveness.
Implement data security and governance policies.

Requirements/Qualifications:

Experience with data engineering tools and technologies (e.g., Spark, Hadoop, Kafka).
Proficiency in programming languages such as Python or Java.
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Strong understanding of database concepts and SQL.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Excellent problem-solving and communication skills.

About the Company: Mastercard is a global technology company that connects billions of people to payments. They operate a vast network that enables financial institutions, businesses, governments, and individuals to safely and securely transact around the world.