Lead Data Engineer ID71008
BUENOS AIRES, Argentina
USD 147K-180K (estimate) Senior-level Full Time
Tasks
- Define partitioning strategy and file formats
- Design and govern DAG based orchestration with Airflow
- Design and own ETL pipelines
- Design schema and data type strategy
- Drive AWS data stack architecture
- Implement near real time processing for OLAP workloads
- Lead developers and align engineering practices
- Partner with DevOps on requirements
- Review pull requests and enforce code quality standards
- Validate data extraction, transformation, and loading
Perks/Benefits
- Annual learning budget
- Annual performance and compensation reviews
- Flexible hours
- Mentorship
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
Amazon Athena | Amazon EKS | Amazon S3 | Apache Airflow | Docker | ETL | FastAPI | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | OLAP | ORC | Parquet | Partitioning | PostgreSQL | Python | REST | Real-time Processing | SQL | Schema Design | Time processing
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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