Tech Stack

Description

You will design and build the engineering foundation powering analytics across the organization, focusing on modern data warehouses, scalable modeling layers, and AI-driven automation to accelerate analytics development.

Requirements

• 6+ years in Data Engineering and Analytics Engineering
• Experience with BigQuery, dbt, and Python
• Workflow orchestration (Dagster, Airflow) and reliable data pipelines
• Hands-on AI coding platform usage for automation
• Strong engineering practices: Git, testing, code reviews, CI/CD

Responsibilities

• Lead AI adoption in analytics platform with automated tools for dashboards and data exploration
• Design and build scalable data warehouse models and transformation layers
• Build and optimize ETL pipelines and core analytics infrastructure
• Improve performance, reliability, and scalability of analytics platform
• Enable self-serve data access through semantic layers and reusable datasets