Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps on requirements
- Define file formats and schema
- Define partitioning strategy
- Design DAG batch workflows
- Design analytical data architecture
- Drive AWS data lake architecture
- Implement near real time processing
- Lead developers and align engineering practices
- Orchestrate data processing with Airflow
- Own ETL pipelines
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Collaborative culture
- Flexible hours
- Growth opportunities
- Internal TechTalks
- Mentorship
- People focused support
- Remote work
- Well-being programs
Skills/Tech-stack
Airflow | Athena | BigQuery | ClickHouse | DAG | Data Lake | Data pipeline | Docker | EKS | ETL | FastAPI | Flask | GraphQL | Kubernetes | Near-real-time | Near-real-time Processing | ORC | Object storage | Parquet | Partitioning | PostgreSQL | Presto | Python | Query engine | REST API | Real-time Processing | S3 | Schema Design | Serverless Query | Serverless query engine | Snowflake | Spark SQL | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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