Lead Data Engineer ID71008
Tasks
- Coordinate with DevOps team on requirements
- Define partitioning and file format strategy
- Define technical approach for ambiguous problems
- Design and own ETL pipelines
- Design near real time processing for OLAP workloads
- Drive AWS data stack architecture
- Extract transform and validate data at scale
- Lead developers and align engineering practices
- Orchestrate scheduled batch workflows with DAGs
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal TechTalks
- Mentorship
- Remote work
- Tech support
- Wellbeing programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | Airflow | Amazon Athena | Amazon S3 | BigQuery | ClickHouse | Code review | DAG | Data Lake | Development tools | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | OLAP | ORC | Object storage | Parquet | Partitioning Strategy | PostgreSQL | Presto | Python | REST | Schema Design | Serverless | Snowflake | Spark SQL | Terminal Environments | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
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