Key skills
AirflowAWSAzureGoogle Cloud PlatformPythonSQLData EngineeringBISnowflakedbtGCPGoogle CloudGit
About this role
Role Overview
- Handle data science, data analysis, and data engineering challenges
- Build and maintain relevant datasets for clients or internal needs
- Expose and visualise data through BI and visualization tools
- Maintain pipelines and implement alerts & data quality tests
Requirements
- Graduate of a top business or engineering school, or equivalent
- 5 years of professional experience
- Proficient with technologies: GCP, Azure, AWS, Snowflake, Python, SQL, Airflow, DBT, Git
- Strong analytical skills and experience managing analytical projects
Tech Stack
- Airflow
- AWS
- Azure
- Google Cloud Platform
- Python
- SQL
Benefits
- 3-stage recruitment process
- Diversity and inclusion throughout the recruitment process