Snowflake · jobs.ashbyhq.com · checked today
Data Engineer
Skills, with evidence
- Airflow / orchestration
Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably.
must have - Data quality
Apply data quality checks and help monitor Snowflake warehouse cost and performance.
must have - Python
Strong SQL and working Python skills, including basic query tuning and schema design.
must have - SQL
Strong SQL and working Python skills, including basic query tuning and schema design.
must have - Warehousing
- Apply data quality checks and help monitor Snowflake warehouse cost and performance
- dbt
- Develop dbt models with tests and documentation that follow team standards and governance practices
- Cost & performance
- Apply data quality checks and help monitor Snowflake warehouse cost and performance
- Data modelling
- 3+ years of hands-on experience building data pipelines or data models in a production environment
- Schema evolution & contracts
- Awareness of data contracts or schema registry tooling
- Streaming
- Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming
- AWS
- Experience with AWS, Azure, or GCP, including infrastructure-as-code
not practised here - Azure
- Experience with AWS, Azure, or GCP, including infrastructure-as-code
not practised here - GCP
- Experience with AWS, Azure, or GCP, including infrastructure-as-code
not practised here - Governance & security
- Develop dbt models with tests and documentation that follow team standards and governance practices
not practised here
Your plan
- SQL
drills at the Mid level
- Python
drills at the Mid level
- Modelling
drills at the Mid level
- Pipelines
drills at the Mid level
- Spark
drills at the Mid level
The full plan, drill by drill, is on the job page.
leaves in 3 dremoved the moment Snowflake closes it