Data Engineer

Direct Travel is a leading provider of corporate travel management services. They are seeking a skilled and motivated Data Engineer to build robust and scalable data pipelines that support analytics and business decisions in the travel industry.

Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines for ingesting data from internal and external travel-related sources (e.g., GDSs, OTAs, CRM systems)
• Collaborate with data analysts, data scientists, and product teams to understand data needs and deliver high-quality, reliable datasets
• Integrate data from various platforms including booking engines, mobile apps, customer service systems, and web analytics tools
• Develop and optimize data models and schemas in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
• Implement data quality checks and monitoring to ensure the accuracy and reliability of data
• Support real-time data streaming for dynamic pricing, inventory updates, and customer interactions
• Ensure data privacy, governance, and compliance with regulations like GDPR and CCPA

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 4+ years of experience in data engineering or backend data development and integration
• Proficiency in SQL and at least one programming language (Python, Java, Scala)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data stacks (Airflow, dbt, Kafka, IDMC, etc.)
• Knowledge of data warehousing concepts and tools
• Experience in the travel or hospitality industry
• Familiarity with travel data formats and systems (e.g., PNRs, GDS, IATA standards)
• Exposure to predictive analytics, personalization, or recommender systems
• Understanding of API integrations with travel platforms and third-party services