Senior BI Data Engineer

📋 Description

• Architect and develop scalable, resilient data solutions to support analytics, reporting, and ML workloads.
• Design, implement, and maintain ETL/ELT pipelines integrating data from APIs and third-party sources.
• Ensure data is ingested, transformed, stored, and accessible with robust testing and clear business rules.
• Translate business requirements into scalable data models and transformation logic for large datasets.
• Build and maintain the BI reporting codebase for data integrity and performance.
• Create and maintain backend infrastructure that supports analytics platforms and ML pipelines.

🎯 Requirements

• 4+ years of back-end or data engineering experience delivering production-grade data solutions.
• Experience in global or international environments across regions/time zones.
• Strong SQL expertise with hands-on Python for data extraction, transformation, and analysis.
• Proven experience ingesting data from external APIs and third-party data sources.
• Strong AWS experience including EKS and ECS, plus data warehousing (ideally BigQuery).
• Solid understanding of BI data architecture and version control (GitHub/GitLab).