Data Engineer Iii

About McDonalds in India 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 Position Summary Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle Standards and Practices Will be responsible for building scalable and efficient data solutions to support the Brand Marketing Menu function with a specific focus on the Menu Data product and initiatives As a Data Engineer you will collaborate with data scientists analysts and other cross-functional teams to ensure the availability reliability and performance of data systems Leads initiatives to enable trusted Menu data supports decision-making and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance customer preferences and marketing effectiveness Expertise in cloud computing platforms technologies and data engineering best practices will play a crucial role within this domain Who we are looking for Primary Responsibilities Builds and maintains relevant and reliable Menu data products that supportmenu and marketingAnalytics Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics ensuring timely and accurate delivery ofmarketing and menu-related products Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets Drive and implement best practices for pipeline development data governance data security and quality acrossmarketing and menu-related datasets Ensure scalability maintainability and quality of data systems poweringmenu item tracking promotion data and marketing analytics Staying up to date with emerging data engineering technologies trends and best practices and evaluating their applicability to meet evolving Product Mix analytics needs Documenting 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 Ability and flexibility to coordinate and work with teams distributed across time zones as needed Skill Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem Bachelor s or master s degree in computer science or related engineering field and deep experience with Cloud computing 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 Expert knowledge of Data quality functions like cleansing standardization parsing de-duplication mapping hierarchy management etc Ability to perform extensive data analysis comparing multiple datasets using a variety of tools Proven ability 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 data governance capabilities Familiarity with data warehousing principles and best practices Excellent problem solver - use of data and technology to solve problems or answer complex data related questions Excellent collaboration skills to work effectively in cross-functional teams Work location Hyderabad India Work pattern Full time role Work mode Hybrid