Data Engineer (Snowflake)

Insight Global; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading company in Toronto is seeking an experienced Data Engineer. The role requires substantial expertise in data management, architecture, and integration solutions across cloud platforms. Candidates must demonstrate proficiency in a range of technologies, including SQL, Python, Snowflake, and various data pipeline tools. This position offers a collaborative environment with a focus on delivering innovative data solutions.

Qualifications

• Minimum 7 years in structured data engineering processes.
• Minimum 4 years in Data Solutions Architecture.
• Proficient in data integrations and orchestration methodologies.

Skills

Data management

Data governance

Data design

SQL

Python

Integration solutions development

Tools

Talend

Snowflake

Kafka

Azure DataBricks

AWS

Informatica

DataStage

SSIS

Active Batch

Data Vault 2.0

Job description

4x Onsite Monday-Thursday in Downtown, Toronto

• Minimum of 7 years of experience working in developing and following structured work processes in data engineering
• Minimum of 4 years of experience in Data Solutions Architecture
• Minimum of 4 years of experience in integration solutions development with any pipeline Tools (Informatica, DataStage, SSIS, Talend)
• Demonstrated proficiency in Snowflake, Talend, WhereScape, Data Vault 2.0, Kafka, Active Batch, Azure DataBricks, Python, SQL
• Experience with Cloud platforms services such as Azure, AWS
• Proficient in multiple programming languages and coding. Excellent ability to design and engineer moderately complex enterprise solutions.
• Proficient in data management, governance, data design and database architecture. Experience manipulating, processing and extracting value from large, disconnected datasets.
• Proficient in data modelling, data integrations, data orchestration, and supporting methodologies.