Data Engineer I

At McKinsey & Company, our most valuable resource is our people. As such, we have built a world class people analytics team dedicated to optimizing people management and facilitating data driven decision making for firm leadership, including strategies to improve employee satisfaction, team structure, employee management, recruiting decisions, and other high impact use cases.

The People Analytics team is globally respected as a leader in the field. You will be provided the opportunity for in-depth exposure to new, emerging methodologies through hands-on client projects, e-learning, certifications, live boot camps and global analytics conferences. This team is one of the fastest growing disciplines in analytics.

As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable and reliable data pipelines using Python and AWS services. You will develop and optimize ETL processes, leveraging orchestration tools to manage complex workflows, while implementing data quality checks and monitoring to ensure data accuracy and integrity. Collaborating closely with application developers, data analysts, and data scientists, you will gather requirements and deliver effective data solutions. Additionally, you will automate data processes and deployments using CI/CD pipelines, as well as monitor and troubleshoot data pipeline performance, identifying and resolving issues to ensure seamless operations.