Data Engineer

• Design, build, and maintain robust data pipelines using: AWS Redshift for data warehousing, AWS Lambda for event-driven API ingestion, Astronomer (Airflow) for orchestration and scheduling, DLT (Data Load Tool)—the open-source Python library—to streamline and standardize data ingestion, DBT for modeling and transforming data into tables and views.
• Automate and monitor existing workflows to achieve self-healing, high-availability pipelines.
• Ingest and integrate data from diverse customer sources, including: Paid media platforms (Google Ads, Meta/Facebook, Instagram, etc.), CRMs & Sales systems tied to ticketing and transaction data.
• Implement observability best practices—data quality checks, alerting, and performance tuning—across all pipelines.
• Collaborate closely with analytics, product, and marketing teams to ensure datasets are documented, accessible, and fit for purpose.
• Contribute to the evolution of Xeus’ Lightning platform, empowering clients with real-time business insights.

Senior Data Engineer

Ingeniero de Datos

Senior Data Engineer, Databricks, GCP – Marketing Analytics

Data Engineer

Mid Data Engineer

Mid-Level Data Engineer