Data Engineers
Core
Build and maintain ETL pipelines and data warehouses to process large-scale media metrics (impressions, clicks, spending) for client reporting.
Role type
Senior Data Engineer (ETL & Data Warehousing)
Builds
Production data pipelines, data warehouse loads, and client reporting dashboards
Domain
Media & Advertising Technology
Required skills
SQL (BigQuery), Python, ETL/ELT, Data Warehousing, Cloud Platforms (AWS/GCP/Azure), API Development, Data Mapping, Query Tuning
Preferred skills
Databricks, Spark, Tableau, Datorama
Technologies
BigQuery, Databricks, Spark, AWS, GCP, Azure, Jira, Confluence, Tableau, Datorama
Responsibilities
Design, develop, test, and deploy ETL data pipelines; Load and validate data into data warehouses; Perform query tuning and resolve performance issues; Build data mappings between source and target systems; Collaborate with stakeholders to resolve data issues; Ensure data quality and accuracy for client campaigns; Document processes and present technical findings to clients and teams.
Seniority
Senior, hands-on IC
