Principal Data Engineer (Viator)

at  TripAdvisor

ABOUT VIATOR

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in between)—making memories that will last a lifetime has never been easier. With industry- leading flexibility and last-minute availability, it’s never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you’ll remember.
At Viator, a leading travel platform, we believe that the most memorable experiences are made possible through data-driven insights. As a Principal Data Engineer on the Martech Engineering team, you will be at the forefront of creating innovative solutions that enable our company to harness the power of data to deliver personalized and unforgettable travel experiences to our customers. Join us in shaping the future of travel through cutting-edge data engineering and advanced analytics!
As a Principal Data Engineer on the Viator Martech Engineering team, you will be responsible for designing, building, and maintaining the core data infrastructure and architecture that supports data-driven decision-making across our organization. You will collaborate closely with data analysts, software engineers, and other stakeholders to ensure that data is effectively and efficiently collected, processed, and made accessible for analytical purposes. You will play a crucial role in guiding the team in adopting best practices, exploring new technologies, and driving innovation in data engineering.

QUALIFICATIONS AND EXPERIENCE:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 8 years of hands-on experience in data engineering, with a focus on building large-scale data platforms and data processing pipelines.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies like Hadoop, Spark, and Kafka.
• Strong experience with cloud-based data platforms, such as AWS, GCP, or Azure, including services like S3, MSK, ECS, or equivalent.
• In-depth knowledge of data modelling, data warehousing, and ETL/ELT processes.
• Familiarity with data governance and security best practices and compliance standards.
• Proven experience in performance optimization and tuning of data pipelines and database queries.
• Excellent leadership and communication skills, with the ability to collaborate effectively with cross-functional teams.
• Prior experience in mentoring and guiding junior data engineers is a plus.
• Experience in the travel industry or related domains is desirable but not mandatory.
  Join the Viator Martech Engineering team and be part of an exciting journey to revolutionize the travel industry with data-driven insights and personalized experiences!

• Data Pipeline Architecture: Design and develop scalable, reliable, and efficient data pipelines that facilitate the collection, ingestion, and processing of diverse data from various sources, ensuring high data quality and availability.
• Data Modeling and Warehousing: Create and optimize data models that enable seamless integration of data from multiple sources into a centralized data warehouse or data lake, enabling data access and analysis for different business units.
• Data Governance and Security: Establish data governance frameworks and implement robust data security measures to ensure compliance with privacy regulations and protect sensitive information.
• Performance Optimization: Continuously monitor and fine-tune the data platform’s performance to meet SLAs and optimize resource utilization, ensuring smooth and fast data access for analytical needs.
• Technology Evaluation: Stay up to date with industry trends, emerging technologies, and best practices in data engineering. Assess and recommend new tools and frameworks to improve data processing capabilities.
• Team Leadership and Mentorship: Provide technical leadership and mentorship to a team of data engineers, fostering a collaborative and innovative work environment.
• Cross-Functional Collaboration: Collaborate with data analysts, data scientists, and software engineers to understand their data requirements, offer data engineering support, and contribute to the development of data-driven products and solutions.
• Data Quality and Monitoring: Implement robust data quality checks and monitoring systems to ensure the accuracy, consistency, and reliability of data.
• Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data engineering processes, best practices, and technical standards. Facilitate knowledge sharing sessions with the broader team.