Posted 2 days ago
Data Engineer (Snowflake)
@ Hydro One
Toronto, Ontario
Responsibilities:
- Develop and maintain ingestion pipelines from source systems into Snowflake, covering both batch and streaming (e.g., Snowpipe, Streams & Tasks, connectors).
- Build transformation and data-modelling logic using SQL, dbt, and/or Snowpark (Python/Java).
- Implement automated testing, data-quality checks, monitoring, and alerting across pipelines.
- Apply CI/CD and version control so pipeline changes are reviewed, tested, and deployed consistently.
- Optimize queries and warehouse usage for performance and cost (pruning, clustering, rightsizing).
- Document data lineage, transformations, and operational runbooks.
Requirements summary:
- 7+ years in data engineering in an enterprise environment
- 3+ years in snowflake (snowpipe and snowpark)
- Strong SQL and Python; hands-on experience with ELT/ETL tooling, dbt, and orchestration (e.g., Airflow, dbt Cloud)
- Git-based version control and CI/CD familiarity; exposure to streaming ingestion a plus.
- SnowPro Core certification preferred.
- Key skills: SQL, Python, dbt, pipeline orchestration, data quality, performance tuning, Git/CI-CD.
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-08
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Hydro One
Data Engineer
Mission: Build and operate the data pipelines that land, transform, and model data on the
Snowflake platform reliably and efficiently.
Key responsibilities:
- Develop and maintain ingestion pipelines from source systems into Snowflake, covering both batch and streaming (e.g., Snowpipe, Streams & Tasks, connectors).
- Build transformation and data-modelling logic using SQL, dbt, and/or Snowpark (Python/Java).
- Implement automated testing, data-quality checks, monitoring, and alerting across pipelines.
- Apply CI/CD and version control so pipeline changes are reviewed, tested, and deployed consistently.
- Optimize queries and warehouse usage for performance and cost (pruning, clustering, rightsizing).
- Document data lineage, transformations, and operational runbooks.
Qualifications:
- 7+ years in data engineering in an enterprise environment
- 3+ years in snowflake (snowpipe and snowpark)
- Strong SQL and Python; hands-on experience with ELT/ETL tooling, dbt, and orchestration (e.g., Airflow, dbt Cloud)
- Git-based version control and CI/CD familiarity; exposure to streaming ingestion a plus.
- SnowPro Core certification preferred.
Key skills: SQL, Python, dbt, pipeline orchestration, data quality, performance tuning, Git/CI-CD.
This is a temporary contractor position and is a current existing vacancy. Please note that assignment durations, pay rates, and job duties are subject to Hydro One’s business needs and project requirements.
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