Job Description
We are looking for a Data Engineer to build and scale the data infrastructure, pipelines, and AI-ready architecture powering our global engineering marketplace, revenue intelligence, and product analytics.
This role ensures accurate GMV/revenue data, real-time analytics, and ML/NLP-ready datasets for decision-making and investor reporting.
Key Responsibilities
Design and maintain scalable ETL/ELT pipelines using Python and SQL
Build data warehouse models for revenue, users, and product analytics
Enable ML/NLP workflows with clean, feature-ready datasets
Deliver trusted data to BI dashboards and optimize performance
Implement data quality, security, and governance controls
Required Experience
5+ years in Data Engineering or Analytics Engineering
Strong record of building production-grade pipelines and warehouses
Technical Skills
Python, SQL, data modeling
Airflow/dbt, modern data ware...
This role ensures accurate GMV/revenue data, real-time analytics, and ML/NLP-ready datasets for decision-making and investor reporting.
Key Responsibilities
Design and maintain scalable ETL/ELT pipelines using Python and SQL
Build data warehouse models for revenue, users, and product analytics
Enable ML/NLP workflows with clean, feature-ready datasets
Deliver trusted data to BI dashboards and optimize performance
Implement data quality, security, and governance controls
Required Experience
5+ years in Data Engineering or Analytics Engineering
Strong record of building production-grade pipelines and warehouses
Technical Skills
Python, SQL, data modeling
Airflow/dbt, modern data ware...
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