Lead Data Engineer ID71008
Tasks
- Define schema and data type strategy
- Design and own ETL pipelines
- Design partitioning and file formats
- Develop Airflow pipeline structure dependencies and triggering strategy
- Drive AWS data stack architecture
- Implement near real time processing for OLAP
- Lead developers and align engineering practices
- Orchestrate batch workflows with DAGs
- Partner with DevOps on functional and non functional requirements
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Collaborative culture
- Flexible hours
- Internal TechTalks
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
AWS Bedrock | Airflow | Amazon S3 | Athena | BigQuery | Caching | ClickHouse | DAG | Dagster | Data Lake | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Langchain | Linux | Luigi | MacOS | Monorepo | Near-real-time | Near-real-time Processing | Nx | OLAP | ORC | Object storage | Parquet | Partitioning Strategy | Poetry | PostgreSQL | Prefect | Presto | Pydantic AI | Python | REST | Real-time Processing | Redis | SageMaker | Schema Design | Serverless Query | Snowflake | Spark SQL | Step Functions | Terminal | Time processing | Trino | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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