Lead Data Engineer ID71008
Tasks
- Architect partitioning file formats and schema
- Define and orchestrate batch workflows with DAGs
- Design and own ETL pipelines
- Drive AWS data stack architecture
- Extract transform and validate data at scale
- Implement near real time processing for OLAP workloads
- Lead developers and align engineering practices
- Partner with DevOps on requirements
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Collaborative culture
- Competitive compensation reviews
- Flexible hours
- Learning budget
- Local support programs
- Mentorship
- People focused support
- Performance reviews
- Remote work
- Techtalks
- Wellbeing programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | Amazon S3 | Apache Airflow | Athena | BigQuery | ClickHouse | DAG | Data Lake | Development tools | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Linux Terminal | MacOS | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | PostgreSQL | Presto | Pull request | Pull request review | Python | REST | REST API | 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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