Data Engineer: Build Scalable Analytics & Dashboards

Sleep Country Canada; Toronto; Presencial; CAD 85.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

Dental benefits

Vision benefits

Employee discount

Growth opportunities

Descripción de la vacante

Silk & Snow is seeking a versatile Data Engineer to bridge raw data and actionable insights. You will design dimensional models, implement robust ETL/ELT processes, and develop Power BI dashboards to monitor KPIs.

Ideal candidates have 2–4 years in data engineering, strong SQL and Python, and hands-on dbt experience. Hybrid work and competitive benefits are offered to support growth and work‑life balance.

Formación

• Bachelor’s degree in a quantitative field (CS/Math/Stats).
• 2–4 years in data engineering or analytics with strong SQL and Python.
• Experience designing dimensional models and data transformation pipelines.
• Hands-on with dbt, Power BI, and cloud data platforms (BigQuery/Azure).
• Proficient in data quality, documentation, and stakeholder collaboration.

Responsabilidades

• Design and maintain dimensional models (star/snowflake) for scalable analytics.
• Develop ETL/ELT pipelines using SQL and Python with robust documentation.
• Build, optimize, and publish Power BI dashboards to visualize KPIs.
• Collaborate with stakeholders to translate business needs into data models.
• Ensure data quality and consistency across the pipeline from source to reporting.

Conocimientos

SQL

Power BI

Python

dbt

Data modeling

ETL/ELT

Airflow

BigQuery / Synapse

Pandas / SQLAlchemy

Educación

Bachelor's degree in CS / Math / Stats

Herramientas

Power BI

dbt

Python

SQL

Tableau / Looker

Airflow

Google BigQuery

Azure Synapse

Descripción del empleo

Silk & Snow is seeking a versatile Data Engineer to bridge raw data and actionable insights. You will design dimensional models, implement robust ETL/ELT processes, and develop Power BI dashboards to monitor KPIs.

Ideal candidates have 2–4 years in data engineering, strong SQL and Python, and hands-on dbt experience. Hybrid work and competitive benefits are offered to support growth and work‑life balance.