Lead Data Engineer ID71008
Tasks
- Define schema and data type strategy
- Design Airflow DAG workflows
- Design and own ETL pipelines
- Design partitioning and file formats
- Drive AWS data lake architecture
- Guide developers and align engineering practices
- Implement near real time processing
- Orchestrate batch workflows with Airflow
- Partner with DevOps on requirements
- Query data lake with Athena
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Growth opportunities
- Internal TechTalks
- Mentorship
- Performance reviews
- Remote work
- Wellbeing programs
Skills/Tech-stack
AWS Bedrock | Airflow | Amazon S3 | Athena | BigQuery | Caching | ClickHouse | DAG | Data Lake | Data Pipelines | Docker | EKS | ETL | FastAPI | File Formats | Flask | GraphQL | Kubernetes | Langchain | Monorepo | Near-real-time | Near-real-time Processing | Nx | OLAP | ORC | Object storage | Parquet | Partitioning | Poetry | PostgreSQL | Presto | Pydantic AI | Python | REST | React | Real-time Processing | Redis | Schema Design | Serverless | Snowflake | Spark SQL | Time processing | Trino | TypeScript | UV | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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