Senior Data Engineer

Job summary

Develop enterprise-scale ETL/ELT pipelines and work with cloud data platforms, particularly Snowflake. Collaborate with data architects, analysts, and business stakeholders across a large program.

Job details

Iris's Direct client, a highly diversified financial services provider based in Canada is looking to hire a Sr. Data Engineer for a Long Term Contract opportunity. Location: Hybrid – Mississauga (4 days from office) JOB DESCRIPTION 5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred) ETL/ELT pipeline development at enterprise scale Experience with Stored procedures, task, dbt Data warehouse design, data modelling, workflow orchestration (Airflow or equivalent) Clear communicator; effective cross-functional collaborator, must work effectively with Data Architects, Analysts, and business stakeholders across a large program

What you’ll do

Develop enterprise-scale ETL/ELT pipelines and work with cloud data platforms, particularly Snowflake. Collaborate with data architects, analysts, and business stakeholders across a large program.

Requirements

Requires 5–8 years of experience with SQL and Python, along with cloud data platform experience; Snowflake is highly preferred. Experience with stored procedures, tasks, dbt, data warehouse design, data modeling, and workflow orchestration using Airflow or an equivalent is expected, as are clear communication and effective collaboration.

Listed skills

• SQL · Preferred
• Communication · Preferred
• Python · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• Snowflake
• ETL/ELT Pipeline Development
• Stored Procedures
• Task Scheduling
• dbt
• Data Warehouse Design
• Data Modeling
• Workflow Orchestration
• Airflow
• Communication
• Cross-Functional Collaboration

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting

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