Lead Data Engineer ID71008
Tasks
- Build Airflow DAG workflows
- Define partitioning file formats schema strategy
- Design ETL pipelines
- Design data governance standards
- Design data lake architecture
- Drive AWS data stack
- Enforce code quality through pull request reviews
- Implement near real time OLAP processing
- Lead and mentor developers
- Orchestrate scheduled batch pipelines
- Partner with DevOps team on requirements
Perks/Benefits
- Challenging projects
- Collaborative culture
- Flexible hours
- Learning budget
- Mentorship
- People focused support
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
AWS | Airflow | Amazon S3 | Apache Airflow | Athena | BigQuery | ClickHouse | DAG | Data Lake | Docker | EKS | ETL | FastAPI | File Partitioning | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | ORC | Parquet | PostgreSQL | Presto | Python | REST | Real-time Processing | Schema Design | Snowflake | Spark SQL | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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