Indotronix International Corporation

Role Description Join the global team at Yum! as a Data Engineer and make a direct impact on customer experience and business growth across our world-renowned restaurant brands. Work with modern data integration frameworks, big data platforms, and advanced cloud technologies to build robust data pipelines, models, and scalable solutions. This is a fully remote opportunity designed for a passionate engineer eager to solve complex data challenges and drive real-world results in a collaborative, dynamic environment. - Design, develop, and maintain scalable ETL pipelines and data models to support advanced analytics and business intelligence projects - Lead the architecture and implementation of data integration frameworks, optimizing processes for performance and reliability - Build and manage data solutions using tools such as Informatica Cloud, Snowflake, Domo, and open-source frameworks like PySpark, Kubernetes, and Airflow - Ensure high data quality, completeness, and performance through comprehensive testing and debugging - Support production environments, implement data lifecycle management, and resolve data integration issues efficiently - Leverage AWS (or other cloud platforms) to develop and deploy cloud-based data solutions - Collaborate closely with analytics and engineering teams to deliver data-driven insights that fuel revenue and profit growth Qualifications - Bachelor's degree in technology or related field - 7+ years of hands-on data engineering expertise - Deep knowledge of ETL design, Informatica PowerCenter/IICS, and data warehousing concepts - Advanced proficiency in SQL and Python (including data processing libraries) - Proven experience with Snowflake data warehouse and building cloud data solutions - Strong analytical and problem-solving skills Requirements - Experience with streaming/event processing tools such as Kafka, Spark Streaming, or Pulsar - Familiarity with cloud SDKs and programmatic access services - Understanding of agile development, DevOps, infrastructure-as-code, and CI/CD practices Benefits - 100% remote work for maximum flexibility and work-life balance - Opportunity to work on global, high-impact analytics initiatives - Collaborative, growth-oriented team culture - Exposure to cutting-edge data technologies and professional development