Principal Data Engineer

About McDonald’s :

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Who we are looking for :

Primary Responsibilities :

• Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
• Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
• Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
• Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
• Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
• Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
• Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
• Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Skill :

Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives

Work location : Hyderabad, India

Work hours :

Work pattern : Full time role.

Work mode : Hybrid.