Senior Data Engineer

Our client, a global hospitality company, is seeking a Senior Data Engineer to join their growing data organization. This individual will play a key role in designing, building, and optimizing modern cloud-based data platforms that power enterprise reporting, analytics, and business decision-making. You'll work closely with data architects, analysts, and business stakeholders to deliver scalable, high-quality data solutions supporting a global organization. Responsibilities • Design, develop, and maintain scalable data pipelines and cloud-based data solutions using modern data engineering best practices. • Build and optimize ETL/ELT workflows to ingest, transform, and deliver data from a variety of enterprise systems. • Develop and optimize Snowflake data warehouse solutions, including data modeling, SQL development, and performance tuning. • Design, schedule, monitor, and maintain data workflows using Apache Airflow. • Support enterprise reporting and self-service analytics initiatives through ThoughtSpot, enabling business users with scalable dashboards and reporting solutions. • Partner with business stakeholders, data analysts, architects, and software engineering teams to translate business requirements into reliable data products. • Ensure data quality, governance, security, and consistency across enterprise data platforms. • Optimize data models and pipelines to support large-scale analytical workloads and high-performance reporting. • Troubleshoot production data issues and continuously improve reliability, scalability, and operational efficiency. Required Qualifications • 5+ years of experience in Data Engineering or a related field. • Strong experience with Snowflake, including cloud data warehousing, data modeling, SQL development, and performance optimization. • Hands-on experience with Apache Airflow for workflow orchestration, scheduling, monitoring, and pipeline management. • Experience with ThoughtSpot for self-service analytics, dashboard development, reporting, and business intelligence solutions. • Advanced SQL skills and experience integrating data from multiple enterprise systems. • Experience designing and implementing scalable ETL/ELT pipelines in cloud environments. • Strong understanding of data warehousing concepts, dimensional modeling, and data governance best practices. • Experience working with large-scale datasets supporting enterprise analytics and reporting. • Excellent communication skills with the ability to collaborate across technical and business teams. Preferred Qualifications • Experience working within large, enterprise-scale environments. • Experience supporting cloud-based analytics platforms and modern data architectures. • Knowledge of CI/CD practices and data engineering automation. • Hospitality, travel, or customer-facing industry experience is a plus. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.