Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps on requirements
- Create schema and data type strategy
- Define OLAP data architecture
- Define workflow dependencies and triggers
- Design own ETL pipelines
- Design partitioning strategy and file formats
- Drive AWS data stack architecture
- Implement near real time processing
- Lead developers and align with engineering practices
- Orchestrate batch workflows with Airflow DAGs
- Review pull requests and enforce code quality
- Validate and transform data at scale
Perks/Benefits
- Annual learning budget
- Flexible hours
- Mentorship
- People focused support
- Performance reviews
- Remote work
- Techtalks
- Wellbeing programs
Skills/Tech-stack
AWS S3 | AWS Step Functions | Amazon Athena | Apache Airflow | BigQuery | ClickHouse | Dagster | Data Partitioning | Data Validation | Data pipeline | Docker | EKS | ETL | FastAPI | File Formats | Flask | GraphQL | Kubernetes | Luigi | Near-real-time | Near-real-time Processing | OLAP | ORC | Object storage | PR review | Parquet | Partitioning Strategy | PostgreSQL | Prefect | Presto | Python | Query engines | REST | Real-time Processing | Schema Design | Serverless Query | Serverless Query Engines | Snowflake | Spark SQL | Step Functions | Time processing | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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