You will design and build robust dbt models on Databricks to transform raw data into clean, analytics-ready datasets and KPI definitions. Additionally, you will act as a bridge between data engineers and business stakeholders to ensure reliable data products and consistent reporting.
team.blue Global
6 Remote Job Openings at team.blue Global
Define and execute the communication, engagement, and conversion strategy for the Hub to drive cross-brand adoption. This involves designing in-product journeys, managing multi-channel lifecycle communications, and running data-driven experiments to improve user activation.
Develop and automate robust Data Science and ML models, including GenAI solutions, to solve complex business problems. Translate analytical findings into actionable insights to drive value and improve key business metrics.
Build and maintain core back-end systems including notification engines, data pipelines, and AWS infrastructure. Design secure, scalable services and implement MCP servers for agent-readiness.
Develop and maintain a central data ecosystem to create a single source of truth for over 60 global sub-brands. Build scalable ETL/ELT pipelines and design secure data architectures to power business intelligence and AI initiatives.
You will design and maintain a central data ecosystem to provide a unified source of truth across 60+ global sub-brands. This involves building scalable ETL/ELT pipelines and establishing robust data governance frameworks to support business intelligence and AI initiatives.