Lead Data Engineer ID71008
Tasks
- Define partitioning file formats and schema strategy
- Design DAG based batch workflows with Airflow
- Design and own ETL pipelines
- Drive AWS data stack including Athena and EKS
- Extract transform and validate data at scale
- Implement near real time processing for OLAP workloads
- Lead developers and align engineering practices
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Flexible hours
- Learning budget
- Local well being support
- Mentorship
- Performance reviews
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
Airflow | Amazon S3 | Apache Spark | Athena | BigQuery | ClickHouse | DAG | Data Lake | Docker | EKS | ETL | FastAPI | Flask | GraphQL | JSON | Kubernetes | OLAP | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | REST | SQL | Schema Design | Serverless | Snowflake | Spark SQL | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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