Senior Data Analytics Engineer

Stack

Responsibilities

• ▹Architect and maintain Airflow-driven ETL/ELT pipelines
• ▹Design SQL transformations and data models
• ▹Build and maintain dashboards and BI tools
• ▹Establish data quality monitoring, alerting and anomaly detection
• ▹Operationalize ML models in batch and real-time environments
• ▹Optimize complex SQL queries for performance and cost
• ▹Partner with business teams to report on core metrics (CAC, ROAS, LTV)

Requirements

• ▹4+ years in Data Engineering, Analytics Engineering or ML Engineering
• ▹Advanced SQL (joins, CTEs, window functions, optimization)
• ▹Hands-on AWS data services (Redshift, S3, Glue, Athena, Lambda)
• ▹Hands-on Apache Airflow experience
• ▹Strong Python skills (OOP focus)
• ▹CI/CD experience (GitHub Actions/GitLab)
• ▹Containerization (Docker, Kubernetes/ECS/EKS)
• ▹Proficiency with BI platforms (Tableau, QuickSight or similar)

Soft skills

What we offer

• ▹100% remote work
• ▹Competitive USD salary
• ▹Paid time off

About the company

Trafilea is a Consumer Tech Platform scaling its own digitally native brands, with $1B+ cumulative revenue, 12M+ customers and 500+ talents across 19 countries.