Data Platform Engineer
- Джерело:
- djinni.co
Що робити
- Data Platform & Warehouse: Architect and manage our central data warehouse (using ClickHouse or similar OLAP databases) and clean data pipelines.
- Event Tracking & Behavioral Data: Design robust event tracking across mobile and web apps to map user journeys (watch time, bids, follows, purchases).
- Growth Data Activation (MarTech): Build automated audience pipelines from the warehouse into marketing platforms (Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API).
- Lifecycle Automation & Personalization: Design behavior-based triggers (e.g., cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.
- Practical AI Integration: Deploy production-ready LLM workflows and AI agents for operational needs (seller onboarding, content moderation, automated customer support) with proper cost and evaluation guardrails.
Що очікуємо
- 7+ years of experience in Data Engineering, Software Engineering, or Data Architecture.
- Strong, production-grade Python and SQL.
- Proven experience building Data Warehouses (OLAP): ClickHouse, BigQuery, Snowflake, or Redshift.
- Experience with Event Tracking & Identity Resolution (e.g., Segment, RudderStack, PostHog).
- Experience with Marketing Automation / Reverse ETL: Connecting data warehouses to CRM/Marketing tools (Braze, Customer.io, Hightouch, Census).
Що пропонуємо
- Experience in E-commerce, Marketplaces, or Consumer Apps.
- Experience with recommendation systems, personalization algorithms, or vector databases.
- Experience with real-time media/streaming metadata (LiveKit, WebRTC).
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