Key skills
AirflowAWSAzureBigQueryCloudFluxGoogle Cloud PlatformPythonSQLELTData EngineeringSnowflakedbtGCPGoogle CloudRemote Work
About this role
Role Overview
- Deploy a modern end-to-end data stack at client sites
- Build and maintain robust data pipelines
- Model data to make it actionable (SQL, data warehouse, datamarts)
- Ensure data quality, reliability, and monitoring of data flows
- Support business teams in understanding and using data
Requirements
- 3 to 5 years of experience in data engineering
- Experience with a cloud data warehouse (BigQuery, Snowflake, or equivalent)
- Experience with orchestration and transformation tools: Airflow, dbt, etc.
- Understanding of data architectures (ELT, data warehouse, datamarts, etc.)
- Experience with cloud platforms (GCP, AWS, Azure)
- Proficient in SQL and Python (or equivalent)
Tech Stack
- Airflow
- AWS
- Azure
- BigQuery
- Cloud
- Flux
- Google Cloud Platform
- Python
- SQL
Benefits
- 2 days of remote work allowed per week
- 25 days of paid leave + 12 RTT days per year + 3 agency-provided days off
- Quality group health insurance & provident coverage
- Sports activities, after-work events, advance film screenings, etc.