Lead Data Engineer ID71008
Rio de Janeiro, Brazil
BRL 305K-390K (estimate) Senior-level Full Time
Tasks
- Collaborate with DevOps on requirements
- Create pipeline dependencies and triggers
- Define data lake partitioning strategy
- Design ETL pipelines
- Design file formats and schema design
- Enforce code quality standards
- Implement near real time processing
- Lead engineering team
- Manage data lake architecture with S3
- Orchestrate batch workflows with DAGs
- Review pull requests
- Validate data
Perks/Benefits
- Annual performance reviews
- Flexible hours
- Internal tech talks
- Learning budget
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
AI Assisted Development | AWS | Airflow | Amazon S3 | Athena | BigQuery | ClickHouse | DAG | Data Lake | Data Types | Docker | EKS | ETL | FastAPI | Flask | Graph Data | Graph data types | GraphQL | Kubernetes | Linux Terminal | MacOS | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning Strategy | PostgreSQL | Presto | Python | Query engines | REST | Real-time Processing | Schema Design | Serverless Query | Serverless Query Engines | 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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