Tech Stack

Description

You'll evolve our modern data platform to support reliable analytics and emerging AI use cases, focusing on building production-grade data pipelines with reliability, observability, and performance. You'll collaborate with analytics and product teams to enable impactful data and AI use cases.

Requirements

• 3-5 years experience in Data Engineering
• Strong Python skills for clean, modular code
• Experience with orchestration frameworks (Dagster, Airflow, Prefect)
• Proven SQL & dbt skills for scalable analytics models
• Experience with modern cloud data warehouses (Snowflake or similar)

Responsibilities

• Evolve modern data platform for analytics and AI use cases
• Design, build, and maintain production-grade data pipelines using Dagster
• Implement data quality checks and reliability patterns
• Contribute to data modelling standards and dbt best practices
• Collaborate with analytics and product teams to enable data and AI use cases