Data Engineer: Big Data & Azure Synapse (Hybrid)

Momentum Financial Services Group; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading financial services provider in Toronto is looking for a Data Engineer to design next-gen dynamic data engineering frameworks. You will work closely with various teams to ensure data accuracy and accessibility while driving projects that integrate digital and transactional data. The ideal candidate has a solid background in Azure technologies, SQL proficiency, and experience with data lakes. Enjoy competitive compensation, bonuses, and a hybrid work environment with comprehensive benefits.

Benefits

Hybrid work model

Health and dental plans

Discretionary annual bonus

Tuition assistance

Retirement savings options

Qualifications

• Strong understanding of data warehousing principles.
• 3+ years experience in data analysis and management.
• Ability to work independently and in teams.

Responsibilities

• Lead reporting data structure design and oversee project phases.
• Drive data merging projects for advanced analytics.
• Support enhancement of data lake platforms.
• Ensure enterprise-level application roll-outs are successful.
• Develop scalable Big Data platform for extensive data collection.

Skills

Strong experience with Azure Synapse Analytics

Advanced SQL skills

Experience with Azure Data Factory

Excellent problem-solving skills

Strong communication skills

Proven experience in Snowflake

Familiarity with Git / Azure DevOps

Education

3+ years of relevant experience in Data Engineering

Experience with building a data lake

Strong experience with SQL and Python

Tools

Azure Synapse

Snowflake

Azure Data Factory

Job description

A leading financial services provider in Toronto is looking for a Data Engineer to design next-gen dynamic data engineering frameworks. You will work closely with various teams to ensure data accuracy and accessibility while driving projects that integrate digital and transactional data. The ideal candidate has a solid background in Azure technologies, SQL proficiency, and experience with data lakes. Enjoy competitive compensation, bonuses, and a hybrid work environment with comprehensive benefits.