ABOUT CLIENT A dynamic wellness tech venture offering innovative tools to support proactive health management. Its primary product is a smart scale equipped with cutting-edge BIA technology, delivering precise data on key body metrics such as fat percentage, lean mass, and hydration. By merging advanced engineering with a seamless digital experience, it empowers users to make informed decisions about their health. PROJECT TECH STACK BigQuery SQL, GCP, TypeScript, Cloud Run. PROJECT STAGE Live product.
REQUIREMENTS: * Strong BigQuery SQL and dimensional data modeling * Experience building streaming or near-real-time ingestion pipelines on GCP (Pub/Sub, Cloud Run, Dataflow) * Familiarity with Dataform, dbt, or equivalent * Working knowledge of Tableau (data sources, extracts, calculations) * Comfort with semi-structured/JSON data and schemaless document databases * English level: B2 or highe
NICE TO HAVE: * Experience with Firestore BigQuery extension or similar CDC patterns * Data observability tooling * SCD Type 2 / point-in-time historical modeling * Terraform or IaC for GCP resources
RESPONSIBILITIES: * Build streaming ingestion from Pub/Sub into BigQuery bronze layer using the Storage Write API * Design silver-layer entity models: flatten nested Firestore documents into typed, deduplicated tables * Build gold-layer star schema tables optimized for Tableau * Develop and schedule incremental transforms (Dataform or dbt) * Create and maintain Tableau data sources, extracts, and calculated fields * Monitor pipeline health: ingestion lag, data quality, schema drift * Document data models for stakeholder self-service
YOU WILL GET: * Competitive financial reward and other social benefits; * Possibility to work with minor supervision and low-bureaucracy; * Flexible schedule and friendly working atmosphere; * Tight-knit team with an inclusive and transparent culture.
