Data Engineer Ii

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 About McDonalds One of the worlds largest employers with locations in more than 100 countries McDonalds 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 who has a good understanding of Data Product Lifecycle Standards and Practices Will be responsible for building scalable and efficient data solutions to support the Finance Franchising Development function with a specific focus on the Finance Analytics 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 Vital team member for initiatives to enable trusted financial data supports decision-making and partners with business and technology teams to align data capabilities with strategic finance objectives 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 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 Bachelor s or master s degree in computer science or related engineering field and deep experience with Cloud computing 3 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 Good working 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 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 hours Work pattern Full time role Work mode Hybrid