Senior Data & Analytics Engineer

As a Senior Analytics Data Engineer at Meshy, you will play a crucial role in owning pipelines, schemas, and statistical tooling that transform raw product events into trusted insights. This role requires moving comfortably between deep data‑engineering tasks such as CDC pipelines, event queues, and object‑store reconciliation, and analytics duties like basic statistics concepts, experiment design, BI dashboards, and insights/analysis. Your responsibilities include designing, building, and maintaining scalable ELT & CDC pipelines. You will develop and optimize ELT processes to ensure data quality and reliability using Delta Live Tables in Databricks. Also, you will define key metrics and build visualizations in Tableau and be responsible for analyzing business data to uncover insights that drive key business decisions across departments. The ideal candidate will have 5+ years of experience designing and maintaining data‑ingestion pipelines and analytics schemas, building ELT on modern data stacks (dbt, etc.), and creating data visualizations and analyses using Tableau, Looker, or similar tools. Expertise in SQL and scripting languages, such as Python, is essential. Strong statistical fluency and expertise in statistical inference for A/B tests, growth, and model analytics are also required.