remote
Data Engineer Hybrid - Cruise Planners
Data Engineer
Design and maintain scalable data pipelines and warehouses using Python, SQL, and cloud services to support travel booking and marketing analytics.
About the role
Key Responsibilities
- Develop, test, and deploy robust ETL pipelines to ingest and transform data from multiple travel‑booking and marketing sources.
- Design and optimize data models in Snowflake (or similar cloud data warehouse) for reporting and analytics.
- Implement workflow orchestration using Apache Airflow (or comparable tools) to ensure reliable data processing.
- Collaborate with product, marketing, and analytics teams to understand data requirements and deliver timely data solutions.
- Monitor pipeline performance, troubleshoot issues, and apply best practices for data quality, security, and cost efficiency in AWS.
Requirements
- 3+ years of hands‑on experience building data pipelines with Python and SQL.
- Proficiency with cloud platforms (AWS) and data warehouse technologies such as Snowflake, Redshift, or BigQuery.
- Experience using workflow orchestration tools like Apache Airflow, Prefect, or similar.
- Strong understanding of relational and dimensional modeling, data integration, and ETL best practices.
- Ability to work independently in a hybrid environment and communicate technical concepts to non‑technical stakeholders.
Skills
pythonsqlawssnowflakeairflow