Intermediate Data Engineer
Core
Designing, building, and maintaining highly scalable and robust data solutions for global operations, transforming how the organization uses data.
Role type
Intermediate Data Engineer
Builds
Automated data ingestion pipelines, high-quality data models, and integrations feeding a central data warehouse.
Domain
Travel industry / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Advanced Python, ETL tools (Fivetran), Data Warehousing (Redshift), Data Modeling (dbt Cloud), CI/CD pipelines, Cloud platforms (AWS/Azure/GCP), Data Governance, Data Privacy Regulations (GDPR/PIPEDA)
Preferred skills
BI tools (Looker), Digital marketing data experience, Medallion/Kimball schema modeling
Technologies
Fivetran, Airflow MWAA, Redshift, Looker, dbt Cloud, Python, SQL, Git, AWS, Azure, Google Cloud
Responsibilities
Manage and maintain automated orchestration and ingestion of data; Build high-quality data models with a focus on marketing data; Support the BI team and provide guidance for BI tools; Monitor and maintain data pipelines to ensure reliable ingestion; Diagnose and resolve technical issues within distributed systems; Mentor team members and contribute to technical documentation.
Seniority
Intermediate, hands-on IC
