Data Engineer
Core
Design and build scalable data pipelines and manage a Lakehouse architecture to power media intelligence data products for fashion and beauty executives.
Role type
Senior Data Engineer (Lakehouse & Data Platform)
Builds
Unified data platform (Lakehouse) serving client-facing platforms and internal tools
Domain
Fashion, Lifestyle, and Beauty (FLB) industry; Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Python, PySpark, Databricks, Delta Lake, AWS (S3, Kinesis, Lambda), SQL, Git, CI/CD
Preferred skills
Medallion architecture patterns, schema evolution, liquid clustering, serverless compute
Technologies
Databricks, Delta Lake, AWS, PySpark, Python, TypeScript, GitHub Actions
Responsibilities
Design and build batch and near-real-time data pipelines; Architect efficient Delta Lake table schemas; Ensure code quality and pipeline reliability; Collaborate with product and QA teams; Optimize pipeline cost and performance
Seniority
Mid-Senior, hands-on IC