Business Intelligence Engineer

📋 Description

• Design, build, and maintain data pipelines, data warehouse infra, and data lake environments using
• Establish reliable, scalable data flows across business systems with high data quality
• Optimize data infrastructure for performance, reliability, scalability, and governance.
• Develop data models and transformations to support reporting, analytics, and BI use cases.
• Build dashboards in Looker or comparable BI platforms.
• Collaborate with stakeholders to define KPIs and translate questions into analytical solutions.

🎯 Requirements

• Strong Python and SQL experience for reliable data transformations and workflows.
• Hands-on AWS data services experience (Redshift, S3, Glue, Athena, Lambda).
• Proven ability to design, model, transform, and visualize data.
• Experience building dashboards in Looker or similar BI tools.
• Solid understanding of data warehousing, data lakes, pipelines, and modern data architecture.
• Ability to work across the data stack end-to-end from ingestion to reporting.

🎁 Benefits

• Fully remote working opportunity.
• Competitive compensation.
• Significant ownership across the end-to-end data and BI stack.
• Opportunity to work with modern AWS data technologies and BI tooling.
• Direct exposure to leadership and data-driven decision influence.
• Small, fast-moving team with clear ownership.