Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps on requirements and constraints
- Define analytical architecture for OLAP workloads
- Define schema and data type strategy
- Design Airflow DAG batch workflows
- Design data extraction from databases and APIs
- Design data lake partitioning and file formats
- Implement near real time processing
- Lead engineering team and align on engineering practices
- Orchestrate scheduled batch dependencies
- Own ETL pipeline design
- Review pull requests and enforce code quality
- Validate and transform data at scale
Perks/Benefits
- Annual performance reviews
- Flexible hours
- Learning budget
- Mentorship
- People focused support
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
AWS Bedrock | Apache Airflow | Athena | BigQuery | Caching | ClickHouse | DAG | Data Lake | Data pipeline | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Langchain | Monorepo | Near-real-time | Nx | OLAP | ORC | Object storage | Parquet | Partitioning | Poetry | PostgreSQL | Presto | Pydantic AI | Python | REST API | React | Real Time | Redis | S3 | SQL | SageMaker | Schema Design | Serverless | Snowflake | Spark SQL | Trino | TypeScript | UV | YARN
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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