Senior Data Engineer

5+ years of experience in modern data engineering with focus on lightweight, scalable systems. Strong in SQL (analytics engineering style) and Python (data APIs, pipeline development). Hands-on with cloud-native platforms (preferably GCP: BigQuery, Pub/Sub, Cloud Run, Cloud Functions). Experience with real-time & event-driven pipelines for mobile/AI applications. Familiarity with modern analytical databases such as ClickHouse, Snowflake, or new-gen OLAP solutions (DuckDB, MotherDuck, Apache Pinot, Druid). Skilled in Data Build Tool or similar frameworks for lightweight data transformations. Comfortable with modern orchestration (Dagster, Prefect, or GCP Composer when needed). Understanding of vector databases and embedding stores (pgvector, Pinecone, Weaviate, FAISS) to support AI/LLM features. Knowledge of data observability and quality tools (Great Expectations, elementary, or similar). Experience deploying pipelines on serverless or containerized platforms (Cloud Run, Docker, Kubernetes). Strong communicator, able to work directly with Product, AI, Backend, and Marketing stakeholders. Pragmatic mindset — knows when to build lightweight solutions vs. heavy infra. Proactive problem solver, curious about emerging AI/data tools (vector DBs, real-time warehouses, AI observability). Thrives in a fast-paced, product-focused environment with millions of global users.