Lead Data Engineer ID71008
Tasks
- Build near real time processing workflows
- Define partitioning file formats and schema strategy
- Design OLAP oriented analytical data architecture
- Design and own ETL pipelines
- Drive AWS data lake and query stack architecture
- Lead and review code quality for developers
- Orchestrate batch workflows using Airflow DAGs
- Partner with DevOps on functional and non functional requirements
- Review pull requests and enforce engineering practices
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal TechTalks
- Mentorship
- People focused support
- Remote work
- Wellbeing programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | Apache Airflow | Athena | BigQuery | ClickHouse | Code review | DAG | Data Lake | Development tools | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Linux Terminal | MacOS terminal | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST | Real-time Processing | S3 | 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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