Lead Data Engineer ID71008
BARILOCHE, Argentina
R
USD 158K-198K (estimate) Senior-level Full Time
Tasks
- Collaborate with DevOps on requirements
- Create Airflow DAG workflows
- Define near real time processing strategy
- Deploy and manage EKS Kubernetes workloads
- Design ETL pipelines
- Design OLAP analytical data architecture
- Design partitioning file formats schema
- Drive AWS data lake and analytics stack
- Extract transform validate data
- Lead developers and align engineering practices
- Orchestrate scheduled batch workflows
- Own data pipeline architecture
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Mentorship
- Remote work
- Support programs
- Techtalks
- Well-being programs
Skills/Tech-stack
AWS Data | AWS Data Ecosystem | Airflow | Amazon S3 | Athena | BigQuery | CI/CD | ClickHouse | DAG | Data Ecosystem | Docker | Docker Compose | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST | Real-time Processing | Schema Design | Snowflake | Spark SQL | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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