Take on a one
year contract as a Data Engineer with a hybrid work model in the Greater Toronto Area, focusing on data integration and pipeline management.

Your advanced technical skills are crucial.

The role involves building robust ETL pipelines, designing optimized data models, and developing data solutions using cutting-edge technologies like Snowflake and AWS.
Candidates should have a minimum of five years' experience in data engineering and be skilled in SQL.

Managing CI/CD pipelines and version control via Azure Dev Ops is also a key responsibility.

Key Responsibilities:
Construct and maintain enterprise-level ETL pipelines
Design advanced Data Vault and Star Schema models
Develop data solutions incorporating the Snowflake platform
Write and optimize SQL queries for performance improvements
Oversee CI/CD pipelines through Azure Dev Ops Requirements:
At least 5 years in data engineering or ETL
Expertise in Data Vault and Star Schema modeling
Hands-on experience with Snowflake as a tool
Proficient in advanced SQL for query optimization
Familiarity with AWS cloud technologies Leverage your expertise in data engineering to support ongoing projects within the GTA area.
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📌 Experienced Data Engineer Hybrid Model London
🏢 SearchLabs
📍 London