Data Engineer
Core
Design, build, test, deploy, and maintain end-to-end multi-source ELT pipelines and extend Data Warehouse infrastructure to manage massive daily campaign data ingestion.
Role type
Senior Data Engineer (Enterprise Data Warehouse)
Builds
Production ELT pipelines, Data Warehouse infrastructure, and reliable data products for business decisioning
Domain
Marketing Technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ELT pipeline design, columnar/OLAP databases, data pipeline operationalization, database automation, modern ELT tools, orchestration platforms, Kimball/medallion architectures, high-level programming languages, CI/CD, Infrastructure-as-Code
Preferred skills
API implementation, Reverse ETL, data contracts, AWS Managed Services, data visualization tools, data lake management
Technologies
dbt, Airbyte, Flink, Airflow, Dagster, Redshift, Aurora, Iceberg, Terraform, CloudFormation, Python, Java, SQL, Tableau, Git
Responsibilities
Design and maintain end-to-end multi-source ELT pipelines; Extend Data Warehouse infrastructure to minimize manual work and increase performance; Collaborate with data platform, product engineering, and analytics teams; Work with SRE team to ensure smooth service delivery; Aggregate and curate event data with internal business systems
Seniority
Senior, hands-on IC