Data Engineer - AI & Analytics Platform
Role details
Job location
Tech stack
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., 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
Requirements
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 warehouses (Snowflake/BigQuery/Redshift) AWS/GCP/Azure cloud environments Exposure to ML/NLP data preparation and BI tools (Power BI/Tableau/Looker)