Seeking a Full-Stack Data Engineer with ownership of the data lifecycle from ingestion to transformation, analysis, and storytelling.
Key Responsibilities
1. Data Infrastructure & Pipelines:
* Build and maintain scalable, end-to-end pipelines across cloud environments.
* Ingest and transform data from files, APIs, mobile telemetry, and external databases into centralized stores.
* Continuously monitor, troubleshoot, and optimize infrastructure for performance, scalability, and cost-effectiveness.
2. Analytics & Insights:
* Conduct exploratory and advanced analysis using SQL, Python, and statistical methods.
* Collaborate with Analysts, Data Scientists, and Product Managers to translate business requirements into technical solutions.
3. Collaboration & Best Practices:
* Engage in peer code reviews to uphold high standards of quality and maintainability.
* Work cross-functionally with software engineering and business teams to ensure data solutions align with company priorities.