Staff Data Engineer

Accountabilities:

• Design, build, and maintain scalable distributed data processing systems using modern big data technologies.
• Develop robust ETL/ELT pipelines and real-time streaming architectures to support large-scale analytics and operational needs.
• Architect and optimize data lakes, data warehouses, and streaming platforms for performance, scalability, and reliability.
• Implement secure and fault-tolerant data infrastructure across cloud-based environments.
• Improve data quality, governance, lineage, and platform reliability to ensure trusted and accessible data across teams.
• Collaborate cross-functionally with engineers, analysts, and data scientists to deliver impactful data solutions aligned with business objectives.
• Drive infrastructure modernization initiatives, evaluate emerging technologies, and contribute to continuous platform improvement.
• Mentor junior engineers, promote best practices, and contribute to a culture of collaboration and technical excellence.
• Optimize system and pipeline performance through efficient partitioning, indexing, caching, and query optimization strategies.
• Support CI/CD workflows, automation, and deployment processes to ensure efficient and reliable delivery cycles.

Requirements:

• Strong experience designing and managing distributed data systems and large-scale data architectures.
• Advanced knowledge of technologies such as Apache Spark, Hadoop, Flink, Kafka, and cloud-based data platforms.
• Proven expertise in building scalable ETL/ELT pipelines and streaming data solutions.
• Strong programming skills in Python and SQL; additional experience with Java or Scala is considered a plus.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Solid understanding of data governance, security, reliability, and infrastructure best practices.
• Familiarity with cloud ecosystems and tools such as AWS, Confluent, Airflow, dbt, GitHub Actions, and CI/CD workflows.
• Excellent analytical and problem-solving skills with the ability to independently manage projects from concept to production.
• Strong communication and collaboration abilities within remote and globally distributed teams.
• Experience mentoring team members and contributing to technical leadership initiatives is highly valued.
• Hospitality industry knowledge or experience working with commercial platform ecosystems is considered an advantage.

Benefits:

• Fully remote-first working environment with global collaboration opportunities.
• Competitive compensation package aligned with experience and market standards.
• Paid time off in accordance with local labor regulations.
• Monthly Wellness Fridays offering extended weekends each month.
• Fully paid parental leave.
• Home office stipend based on country of residence.
• Access to professional development programs, technical training, and continuous learning opportunities.
• Manager coaching, upskilling initiatives, and internal knowledge-sharing programs.
• Inclusive and diverse workplace culture focused on collaboration and innovation.
• Opportunities to work on large-scale AI-driven and cloud-based technologies impacting a global industry.