Related skills
aws etl sql python pandasπ Description
- Understanding the business requirements
- Writing code and implementing the proposed solutions
- Creating data pipelines, versioning and change management
- Manage the complexity inherent in versioned data pipelines
- Building and maintaining ETL processes
- Logging and instrumentation of pipelines
π― Requirements
- 3+ years experience as data engineer or similar
- Advanced SQL skills and relational DB experience
- Strong Python skills with Pandas, NumPy
- Experience writing ETL / pipeline code
- Data collection from multiple sources and integration
- Experience with Google Cloud Platform and AWS
- GCP: Cloud Functions, Cloud Storage, Dataform
- AWS: ECS, Lambda, EC2, S3
- GitHub Actions for CI/CD
- Terraform
- Proficiency in English
π Benefits
- Remote-first work environment
- Global team across cultures
- Wellbeing focus with programs and time off
- Career growth opportunities across projects
- Equal opportunity employer
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