Lead Data Engineer ID71008
Tasks
- Build and govern data lake ETL pipelines
- Define near real time OLAP processing architecture
- Design and own ETL pipelines
- Design partitioning strategy and schema design
- Integrate with internal databases and external APIs
- Lead developer team and align engineering practices
- Orchestrate batch workflows with Airflow DAGs
- Partner with DevOps on AWS architecture requirements
- Review pull requests and enforce code quality
Perks/Benefits
- Annual performance reviews
- Flexible hours
- Learning budget
- Mentorship
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
Amazon S3 | Apache Airflow | Athena | ClickHouse | DAG | Data Lake | Data Modeling | Data pipeline | Docker | EKS | ETL | FastAPI | Flask | GraphQL | JavaScript | Kubernetes | Near-real-time | OLAP | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST API | Real Time | Schema Design | Serverless computing | Spark SQL | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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