Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps on requirements
- Define file format and schema design
- Define partitioning strategy
- Design ETL pipelines
- Design near real time OLAP architecture
- Drive AWS data stack architecture
- Extract transform and validate data from databases and APIs
- Lead developers and align engineering practices
- Orchestrate batch workflows using DAGs
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal tech talks
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
AI code assistant | AWS EKS | Amazon Athena | Amazon S3 | Apache Airflow | BigQuery | ClickHouse | Code Assistant | Code Quality | Cost Performance | Cost-performance optimization | DAG | Data Lake | Data Pipelines | Docker | ETL | FastAPI | Flask | GraphQL | Kubernetes | Linux | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | Performance optimization | PostgreSQL | Presto | Pull request | Pull request review | Python | REST | Real-time Processing | Schema Design | Serverless Query | Snowflake | Spark SQL | Terminal | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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