Senior Cloud Data Engineer - Snowflake, Azure & Databricks

Akkodis; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading tech consultancy in Toronto is seeking a Senior Data Engineer to build and optimize cloud-based data pipelines using Snowflake, Azure, and Databricks. The ideal candidate will have over 8 years of experience in data engineering and be skilled in ETL processes and SQL. This role offers the opportunity to work with modern cloud technologies and improve data quality across the organization.

Qualifications

• At least 8+ years of hands-on experience in data engineering, ETL, or data warehousing.
• Strong expertise in Snowflake, Azure (Data Factory, Data Lake, Synapse), and Databricks.
• Solid SQL and Python skills for data manipulation and transformation.

Responsibilities

• Build, enhance, and support data pipelines and ETL processes using Azure Data Factory, Snowflake, and Databricks.
• Work with both structured and unstructured data to support enterprise reporting and analytics.
• Collaborate with data architects, analysts, and business stakeholders to understand requirements.

Skills

Data engineering

ETL processes

Snowflake

Azure Data Factory

Databricks

SQL

Python

Tools

Talend

SSIS

Informatica

DataStage

Job description

A leading tech consultancy in Toronto is seeking a Senior Data Engineer to build and optimize cloud-based data pipelines using Snowflake, Azure, and Databricks. The ideal candidate will have over 8 years of experience in data engineering and be skilled in ETL processes and SQL. This role offers the opportunity to work with modern cloud technologies and improve data quality across the organization.