Key skills
BigQueryCloudETLGoogle Cloud PlatformPythonSQLELTData EngineeringdbtGCPGoogle CloudPub/Sub
About this role
Role Overview
- Build and support non-interactive (batch, distributed) & real-time data pipelines
- Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
- Provide consultation and lead implementation of complex programs
- Develop and maintain documentation for assigned systems and projects
- Tune queries over billions of rows of data in a distributed query engine
- Perform root cause analysis for software/business process issues
- Implement and maintain dbt transformation models, CI pipelines, data contracts
- Build and monitor data quality gates and freshness SLOs
- Optimize BigQuery cost and performance with query tuning, storage design
- Implement platform hardening controls including retries, dead-letter queues
Requirements
- Strong background in data engineering
- Hands-on experience in Google Cloud Platform (GCP) services such as Pub/Sub, Dataflow, and BigQuery
- Proficiency in SQL and Python
- Familiarity with moving/transforming data across cloud-based data zones and streaming pipelines (ETL/ELT)
- Comfort with cloud services, data management, automation tools, and real-time data processing
- Advanced English skills
Tech Stack
- BigQuery
- Cloud
- ETL
- Google Cloud Platform
- Python
- SQL
Benefits
- growth opportunities
- values-driven culture
- international careers
- opportunity to shape the future of experience