Lead Data Engineer ID71008
Tasks
- Create Airflow DAG workflows
- Define partitioning file formats schema strategy
- Design ETL pipelines
- Drive AWS data lake analytics architecture
- Extract transform validate data
- Implement near real time processing
- Mentor developers align engineering practices
- Orchestrate scheduled batch processing
- Partner with DevOps on requirements
- Review pull requests enforce code quality
Perks/Benefits
- Collaborative culture
- Flexible hours
- Internal tech talks
- Learning budget
- Mentorship
- Remote work
- Supportive environment
- Well-being programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | AWS Bedrock | Airflow | Amazon Athena | Amazon EKS | Amazon S3 | Apache ORC | Apache Parquet | Apache Spark | Apache Spark SQL | BigQuery | Caching | ClickHouse | DAG | Data Query | Development tools | Docker | ETL | FastAPI | Flask | Graph Data | Graph Data Query | GraphQL | Kubernetes | Langchain | Monorepo | OLAP | Object storage | Poetry | PostgreSQL | Presto | Pydantic | Python | REST | React | Redis | Redis caching | SQL | Serverless | Snowflake | Spark SQL | Trino | TypeScript | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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