We're looking for a skilled Data Engineer to join our growing data platform team. In this role, you'll be at the heart of building and scaling the infrastructure that powers our data-driven decisions – designing robust pipelines, shaping our lakehouse architecture, and ensuring data flows reliably from source to insight.

You will work hands‑on with Databricks and Apache Spark on AWS, taking ownership of end‑to‑end pipeline development while collaborating closely with analytics, engineering, and product teams. If you take pride in clean, performant code and enjoy solving complex data challenges at scale, we'd love to hear from you.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Databricks (Apache Spark).
• Implement batch and streaming data ingestion from multiple sources (databases, APIs, event streams).
• Ensure pipelines are fault‑tolerant, efficient, and cost‑optimized on AWS.
• Develop ...