Senior Data Engineer
Core
Building and maintaining ETL data pipelines to process large volumes of media metrics (impressions, clicks, spending) and deliver accurate data to clients via data warehouses and BI platforms.
Role type
Senior Data Engineer (ETL & Data Warehousing)
Builds
ETL data pipelines, data warehouse loads, and data integrations for media performance reporting
Domain
Media & Advertising Technology
Required skills
SQL, PySpark, Python, Databricks, ETL process design, Cloud platforms (AWS/GCP/Azure), CI/CD, Data mapping, Query tuning
Preferred skills
AI knowledge, API development, Business Intelligence platforms (Datorama, Tableau)
Technologies
PySpark, Python, Databricks, AWS, GCP, Azure, Jira, Confluence, Datorama, Tableau
Responsibilities
Develop, test, review, and deploy functionality in ETL data pipelines; Load and validate data into the data warehouse from various source systems; Perform query tuning and resolve performance issues; Build data mappings between source and target systems; Collaborate with stakeholders to resolve data-related issues; Ensure data quality and perform regular QA/QC checks on client campaigns; Document processes and present findings to teams and clients.
Seniority
Senior, hands-on IC