Lead Data Engineer ID71008
Tasks
- Coordinate with DevOps on requirements
- Define file formats and schema
- Define partitioning strategy
- Design ETL pipelines
- Design analytical data architecture for OLAP
- Drive AWS data lake architecture
- Guide developers and align engineering practices
- Implement near real time processing
- Orchestrate batch workflows with Airflow DAGs
- Own data pipeline architecture
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Dedicated learning budget
- Flexible hours
- Internal tech talks
- Mentorship
- People focused support
- Performance reviews
- Remote work
- Well-being programs
Skills/Tech-stack
Amazon Athena | Amazon S3 | Apache Airflow | Apache Spark | Apache Spark SQL | BigQuery | ClickHouse | DAG | Data Engineering | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST API | Schema Design | Serverless | Snowflake | Spark SQL | Trino | Trino/Presto
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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