Lead Data Engineer ID71008
Tasks
- Build OLAP oriented analytical architectures
- Collaborate with DevOps on requirements
- Define file formats and schema design
- Design ETL pipelines
- Design data lake partitioning strategy
- Drive AWS data stack integration
- Implement near real time processing
- Lead data engineering team
- Orchestrate batch workflows with DAGs in Airflow
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal TechTalks
- Mentorship
- Performance reviews
- Remote work
- Tech support programs
- Well-being programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | AWS Bedrock | Airflow | Amazon S3 | Athena | BigQuery | Caching | ClickHouse | DAG | Data Lake | Development tools | Docker | Dockerfile | EKS | ETL | FastAPI | Flask | Graph Database | GraphQL | Kubernetes | Langchain | Machine Learning | Monorepo tools | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | 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 | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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