Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps on requirements
- Define partitioning strategy
- Define pipeline dependencies and triggering
- Design ETL pipelines
- Design data lake file formats
- Design schema and data types
- Drive AWS data stack architecture
- Enforce code quality standards
- Extract transform validate data
- Implement near real time processing
- Lead and mentor developers
- Orchestrate batch workflows with DAGs
- Review pull requests
- Set team standards for AI tooling use
Perks/Benefits
- Flexible hours
- Learning budget
- Mentorship
- Modern collaborative culture
- Performance and compensation reviews
- Remote work
- Support programs
- Techtalks
- Well-being programs
Skills/Tech-stack
AWS Bedrock | Airflow | Athena | Bedrock | BigQuery | Caching | ClickHouse | DAG | Data Lake | Data Modeling | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Langchain | Marketing Analytics | Monorepo | Nx | ORC | Object storage | Parquet | Partitioning | Poetry | PostgreSQL | Presto | Pydantic | Python | REST | React | Redis | S3 | SageMaker | Schema Design | Serverless Query | Snowflake | Spark SQL | Trino | TypeScript | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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