Lead Data Engineer ID71008
Belo Horizonte, Brazil
BRL 305K-390K (estimate) Senior-level Full Time
Tasks
- Collaborate with DevOps on requirements
- Define schema and data type strategy
- Design ETL pipelines
- Design data lake partitioning and file formats
- Drive AWS data ecosystem architecture
- Guide developers and align engineering practices
- Implement near real time OLAP processing
- Orchestrate batch workflows with Airflow DAGs
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Collaborative culture
- Flexible hours
- Internal tech talks
- Mentorship
- Performance and compensation reviews
- Remote work
- Well-being programs
Skills/Tech-stack
AWS | Airflow | Amazon EKS | Amazon S3 | Apache Airflow | Athena | BigQuery | Caching | ClickHouse | DAG | Data Lake | Data Partitioning | Data orchestration | Docker | ETL | FastAPI | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | OLAP | ORC | Parquet | PostgreSQL | Postgres | Presto | Python | REST | REST API | React | Real-time Processing | Redis | Schema Design | Snowflake | Spark SQL | Time processing | Trino | TypeScript
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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