Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps on requirements
- Define data lake partitioning strategy
- Design ETL pipelines
- Design file formats for object storage data lakes
- Design schema and data type strategy
- Develop near real time processing for OLAP workloads
- Drive AWS data stack architecture
- Guide developers and align engineering practices
- Orchestrate batch workflows using DAGs
- Review pull requests and enforce code quality standards
- Validate extracted and transformed data
Perks/Benefits
- Annual learning budget
- Flexible hours
- Mentorship
- People focused support
- Performance and compensation reviews
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
AWS Bedrock | Amazon S3 | Apache Airflow | Athena | BigQuery | Caching | ClickHouse | DAG | Data Lake | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Langchain | Linux | MacOS | Monorepo | Near-real-time | Near-real-time Processing | Nx | OLAP | ORC | Object storage | Parquet | Poetry | PostgreSQL | Presto | Pydantic AI | Python | Query engines | REST | React | Real-time Processing | Redis | SageMaker | Schema Design | Serverless Query | Serverless Query Engines | Snowflake | Spark SQL | Time processing | Trino | TypeScript | UV | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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