Lead Data Engineer ID71008
Tasks
- Define file formats and schema strategy
- Define near real time processing architecture
- Design ETL pipelines
- Design OLAP data warehouse strategy
- Drive AWS data stack architecture
- Enforce engineering practices
- Extract transform validate data
- Guide senior developers
- Orchestrate batch workflows with DAGs
- Own data pipeline architecture
- Partition data lake files
- Review pull requests for code quality
Perks/Benefits
- Annual learning budget
- Collaborative culture
- Flexible hours
- Internal TechTalks
- Mentorship
- People focused support
- Performance reviews
- Remote work
- Well-being programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | AWS Athena | Airflow | Amazon S3 | Apache Spark | Apache Spark SQL | BigQuery | ClickHouse | Code Quality | DAG | Data Engineering | Data Lake | Development tools | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | Parquet | Partitioning | 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
Regions
Countries
States
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