Data Engineer

We are looking for a hands-on Data Engineer to join engineering team and take ownership of core data processes within one of our product teams.

You will design and maintain reliable ETL pipelines, connect to external data sources, and help build scalable data foundations for product features, analytics, and AI-driven capabilities. This is a great opportunity to own meaningful data processes end-to-end and work closely with product, engineering, and data stakeholders.

Your Ownership Will Include

Design, build, and maintain end-to-end ETL pipelines for production use.
Work with large-scale cloud usage data from different sources and formats.
Build data flows using Apache Spark and Databricks or similar technologies.
Structure data using Data Lake / Lakehouse concepts, including Bronze, Silver, and Gold layers.
Integrate with external APIs and data sources.
Prepare and model data for product features, analytics, and AI-related capabilities.
Ensure data quality, reliability, and observability across pipelines.
Collaborate closely with backend engineers, data analysts, and product stakeholders.