Data Engineer (Mid-level)
Core
Design, develop, and maintain scalable ELT/ETL pipelines and data models on Google Cloud Platform to support analytics, reporting, and self-service dashboards for media and marketing technology clients.
Role type
Mid-level Data Engineer (Cloud & Data Warehousing)
Builds
Scalable data pipelines, curated datasets, and cloud-native data solutions on GCP
Domain
Digital Marketing Technology / Media / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (Advanced), Python, REST APIs, dbt, Data Warehousing, Pipeline Orchestration, Cloud Infrastructure (GCP), Data Modeling, Data Quality Frameworks
Preferred skills
Snowflake, AWS, Azure, Terraform, Docker, Looker, Google Analytics 4, Adobe Analytics, Marketing Technology integration
Technologies
Google Cloud Platform, BigQuery, Cloud Functions, Cloud Run, Pub/Sub, Cloud Composer, dbt, Git, Looker Studio, Power BI, Tableau
Responsibilities
Design and maintain scalable ELT/ETL pipelines; Build and optimize data ingestion frameworks from multiple data sources; Develop and maintain robust data models for analytics; Implement incremental processing and performance optimization; Ensure pipeline reliability through monitoring and automated testing; Partner with Analytics Engineers and BI Developers to deliver trusted datasets.
Seniority
Mid-level, hands-on IC
