Related skills
aws etl data warehouse python spark📋 Description
- Deliver complex data platform components and migrations.
- Troubleshoot performance, scalability, reliability issues.
- Contribute to design and engineering standards.
- Communicate technical topics clearly to peers and stakeholders.
- Produce high-quality docs and implementation reviews.
🎯 Requirements
- Cloud-native data platforms and pipelines (Spark/PySpark)
- Data lake/lakehouse practices and schema design
- Python (OOP, testing) with solid engineering
- Relational DBs, schema design, query optimization
- Migrations, modernization, HA/DR, security, cost optimization
- Infra-as-code, CI/CD, automation; English: B2+
🎁 Benefits
- 100% remote work
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Equipment & Office Stipend
- Worldwide team and corporate culture
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