Senior Data Engineer – Systems Architecture, Design & Development. Location: Ras Al Khaimah, United Arab Emirates (on-site). Wynn Al Marjan Island is seeking a Senior Data Engineer to join the IT Systems Architecture, Design & Development team. The role focuses on designing, developing, and optimizing ETL/ELT pipelines using SQL, Python, Snowflake, and Airflow; building scalable batch, incremental, real-time, and CDC-based data ingestion solutions; developing and maintaining data warehouses and dimensional models for analytics and reporting; creating and managing Airflow DAGs for workflow orchestration, scheduling, and monitoring; optimizing Snowflake data models, query performance, and data loading processes; translating business requirements into scalable data engineering solutions; enhancing data platform performance, reliability, scalability, and cost efficiency; and producing technical documentation to support analytics teams with high-quality data assets. Qualifications include 5–7 years of hands-on data engineering experience with strong expertise in SQL, Python, ETL/ELT development, and data pipeline automation; proven experience designing and optimizing data warehouses and analytics-ready data structures; knowledge of batch, incremental, CDC, and merge/upsert data loading strategies; advanced Snowflake experience (data modeling, loading, query optimization, security, and warehouse management); hands-on Apache Airflow experience for workflow orchestration; a Bachelor's degree in computer science, information technology, or related field; relevant certifications such

Senior Data Engineer – Systems Architecture, Design & Development. Location: Ras Al Khaimah, United Arab Emirates (on-site). Wynn Al Marjan Island is seeking a Senior Data Engineer to join the IT Systems Architecture, Design & Development team. The role focuses on designing, developing, and optimizing ETL/ELT pipelines using SQL, Python, Snowflake, and Airflow; building scalable batch, incremental, real-time, and CDC-based data ingestion solutions; developing and maintaining data warehouses and dimensional models for analytics and reporting; creating and managing Airflow DAGs for workflow orchestration, scheduling, and monitoring; optimizing Snowflake data models, query performance, and data loading processes; translating business requirements into scalable data engineering solutions; enhancing data platform performance, reliability, scalability, and cost efficiency; and producing technical documentation to support analytics teams with high-quality data assets. Qualifications include 5–7 years of hands-on data engineering experience with strong expertise in SQL, Python, ETL/ELT development, and data pipeline automation; proven experience designing and optimizing data warehouses and analytics-ready data structures; knowledge of batch, incremental, CDC, and merge/upsert data loading strategies; advanced Snowflake experience (data modeling, loading, query optimization, security, and warehouse management); hands-on Apache Airflow experience for workflow orchestration; a Bachelor's degree in computer science, information technology, or related field; relevant certifications such