Lead Data Engineer ID71008
USD 155K-185K (estimate) Senior-level Full Time
Tasks
- Define partitioning strategy
- Design data lake architecture
- Design file formats and schema strategy
- Drive AWS data stack architecture
- Extract, transform, and validate data
- Implement near real time processing
- Lead developers and enforce engineering practices
- Orchestrate batch workflows with Airflow
- Own ETL pipelines
- Partner with DevOps on requirements
- Review pull requests for code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal TechTalks
- Mentorship
- People focused support
- Performance reviews
- Remote work
- Well-being programs
Skills/Tech-stack
Amazon Athena | Amazon S3 | Apache Airflow | BigQuery | ClickHouse | DAG | Data Lake | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST | Real-time Processing | Schema Design | Serverless | Snowflake | Spark SQL | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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