Data Engineer III

You will be joining McDonald's Corporation, one of the world's largest employers with a presence in over 100 countries, at their corporate opportunity in Hyderabad. The global offices in Hyderabad serve as innovation and operations hubs, fostering McDonald's global talent pool and in-house expertise. In this role, you will play a pivotal part in developing impactful solutions for the business and customers worldwide, focusing on business, technology, analytics, and AI. As a Data Engineer at the G4 level, you will be responsible for creating scalable and efficient data solutions to support the Brand Marketing and Menu function, with a specific emphasis on the Menu Data product and associated initiatives. Collaborating with data scientists, analysts, and cross-functional teams, you will ensure the availability, reliability, and performance of data systems. Your role will involve leading initiatives to establish trust in Menu data, support decision-making, and work closely with business and technology teams to deliver scalable data solutions that provide insights into menu performance, customer preferences, and marketing effectiveness. Your expertise in cloud computing platforms, technologies, and data engineering best practices will be pivotal in this domain. Key Responsibilities: - Develop and maintain reliable Menu data products supporting menu and marketing Analytics. - Implement new technology solutions to enhance data reliability and observability. - Lead data engineering initiatives for Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products. - Define business rules with the Product owner to ensure high-quality Menu datasets. - Drive best practices for pipeline development, data governance, security, and quality across marketing and menu-related datasets. - Ensure scalability, maintainability, and quality of data systems supporting menu item tracking, promotion data, and marketing analytics. - Stay updated on emerging data engineering technologies, trends, and best practices for evolving Product Mix analytics needs. - Document data engineering processes, workflows, and solutions for knowledge sharing and future reference. - Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics. - Coordinate and collaborate with teams distributed across time zones, as required. Requirements: - Lead teams to implement scalable data engineering practices within the Menu Data ecosystem. - Hold a Bachelor's or Master's degree in computer science or related engineering field with extensive Cloud computing experience. - Possess over 5 years of professional experience in data engineering or related fields. - Proficiency in Python, Java, or Scala for data processing and automation. - Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL). - Expertise in Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc. - Ability to perform comprehensive data analysis using various tools. - Proven capability to mentor team members and lead technical initiatives across multiple workstreams. - Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards. - Demonstrated experience in data management and governance capabilities. - Familiarity with data warehousing principles and best practices. - Excellent problem-solving skills to utilize data and technology for resolving complex issues. - Strong collaboration skills to work efficiently in cross-functional teams. Location: Hyderabad, India Work Pattern: Full-time role Work Mode: Hybrid,