Lead Data Engineer ID71008
Tasks
- Define Airflow DAG orchestration strategies
- Design and own ETL pipelines
- Design partitioning strategy and file formats
- Design schema and data type strategy
- Drive AWS data stack architecture
- Implement near real time processing for OLAP workloads
- Lead developers and align engineering practices
- Review pull requests and enforce code quality
- Validate and govern data pipelines
Perks/Benefits
- Annual performance reviews
- Flexible hours
- Learning budget
- Mentorship
- People focused support
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
AI Assisted Development | AWS EKS | Amazon S3 | Apache Airflow | Athena | BigQuery | ClickHouse | Code review | DAG | Data Lake | Docker | ETL | FastAPI | Flask | GraphQL | Kubernetes | Linux | MacOS | Near-real-time | OLAP | ORC | Parquet | Partitioning | PostgreSQL | Presto | Python | REST | Real Time | Schema Design | Snowflake | Spark SQL | Terminal | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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