Lead Data Engineer ID71008
Tasks
- Architect partitioning strategy
- Define Airflow DAG workflow orchestration
- Design analytical data architecture
- Design and govern ETL pipelines
- Design file formats and schema
- Drive AWS data stack architecture
- Guide developers and align engineering practices
- Implement near real time processing
- Own data pipeline design
- Partner with DevOps on requirements
- Review pull requests and enforce code quality
- Set batch workflow dependencies and triggers
Perks/Benefits
- Annual learning budget
- Competitive compensation reviews
- Dedicated learning budget
- Flexible hours
- Growth opportunities
- Mentorship
- People focused support
- Remote work
- Supportive collaborative culture
- Techtalks
- Well-being programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | API Integration | AWS EKS | Airflow | Athena | BigQuery | ClickHouse | Code review | DAG | Data Lake | Data pipeline | Development tools | Docker | ETL | FastAPI | File Formats | Flask | GraphQL | Kubernetes | Linux Terminal | Mac OS | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST | Real-time Processing | S3 | Schema Design | Snowflake | Spark SQL | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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