Data Engineer
Core
Design, build, and maintain scalable data pipelines and ETL processes to support client product and reporting features.
Role type
Data Engineer
Builds
Scalable data pipelines, ETL processes, and data views for product development and reporting
Domain
Technology / Data Engineering
Required skills
SQL, Python, Apache Airflow, Apache Spark, AWS, Terraform, CI/CD, API integration, Data Lakehouse concepts
Preferred skills
Looker, marketing or advertising technology
Technologies
Apache Airflow, Apache Spark, Amazon Athena, AWS, Terraform
Responsibilities
Design and build scalable data pipelines and ETL processes; Integrate and automate data collection from various APIs; Create and optimize data views; Collaborate with cross-functional teams to ensure data solutions meet business needs; Ensure data quality, integrity, and scalability; Provide technical guidance on data architecture; Troubleshoot and resolve data issues and pipeline failures
Seniority
Mid-level (3+ years experience)
