Job Description
This role is ideal for someone who thrives at the intersection of data engineering and backend engineering, helping transform raw data into meaningful insights that drive business decisions across Sales and Revenue, Billing, Traffic, User engagement and behavior. Design and implement scalable data pipelines using Spark (Scala/PySpark) and manage workflows in Databricks. Work with structured/unstructured data and create curated data layers (bronze, silver, gold) to serve various reporting needs. Develop and maintain integrations with internal APIs and external data sources to ingest and transform operational data. Collaborate with cross-functional teams to deliver dashboards and reports using Big Query and Looker Studio. Partner with backend teams and data stakeholders to improve data quality, lineage, and performance. Troubleshoot data discrepancies and ensure timely delivery of critical reports for business stakeholders.
About Editorialist
Editorialist melds personal styling, editorial content, and shopping into one seamless digital experience powered by proprietary technology and e-commerce tools.