Data Engineer/Analyst (Python/SQL) (1706) HYBRID 55-64/hr

Direct IT Recruiting Inc.; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Specialist to join their dynamic team in Toronto. This exciting role involves collaborating with investment teams to build robust data solutions that drive strategic decision-making. You will design high-performance ETL pipelines, implement Snowflake data warehouses, and develop insightful Power BI dashboards. With a focus on data quality and governance, this position offers the opportunity to work in a hybrid model, balancing office and remote work. If you have a passion for data and a strong technical background, this role is perfect for you.

Qualifications

• 3+ years experience in data analysis with a focus on Python and SQL.
• Experience in building ETL pipelines and data solutions.

Responsibilities

• Design and optimize ETL pipelines using Python and SQL.
• Develop automated dashboards with actionable insights.

Skills

Python

SQL

Snowflake

Spark

Databricks

Power BI

Tableau

Azure

AWS

GCP

Education

Bachelor's in Computer Science

Master's in Computer Science

Tools

Snowflake

Power BI

Azure Data Factory

Databricks

Job description

Direct IT Recruiting Inc. provided pay range

This range is provided by Direct IT Recruiting Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$55.00/hr - CA$64.00/hr

Direct message the job poster from Direct IT Recruiting Inc.

Business Operations Manager at Direct IT Recruiting Inc., WBE Canada Certified

NOTE: Hybrid Work Model, office located in Toronto. Work 2 days/week in office.

Status: 12-Month Contract, 8 hour work day, 40 hours/week

Work Experience: 3+ years data analyst, Python, SQL, Snowflake, Spark, Databricks, Power BI, Tableau, Azure, AWS, GCP

DESCRIPTION:

Overview:

The Data Specialist will partner with investment teams to deliver scalable data solutions that drive strategic decision-making. This role focuses on building robust data pipelines and analytical tools to support our investment platform.

Core Responsibilities:

• Design and optimize high-performance ETL pipelines using Python (Pandas) and SQL
• Implement and maintain Snowflake data warehouses with performance-optimized structures
• Develop automated Power BI dashboards with actionable insights
• Transform complex investment data into clean, analysis-ready formats
• Collaborate with quantitative analysts and portfolio managers to understand data needs
• Implement Azure-based data solutions (Data Factory, Databricks, Synapse)
• Ensure data quality and governance across all deliverables

Technical Requirements:

• 5+ years of production experience with:
• Python (ETL/automation focus)
• SQL (complex query optimization)
• Snowflake (including streams/tasks/clustering)

Preferred Qualifications:

• Experience with investment data systems (Bloomberg, FactSet)
• Knowledge of financial regulations (PIPEDA, SEC compliance)

Education:

• Bachelor's or Master's in Computer Science, Engineering, or a quantitative field
• Finance-related coursework or certification a plus

We openly welcome and invite applications from persons with disabilities or those protected by the human rights code and, upon request, provide accommodation during all stages of the recruitment and hiring process.

Please note that AI is used to assist in the recruiting process.

To Apply: https://directitrecruiting.com/job/data-specialist-contract-hybrid-1706/

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Banking and Investment Banking

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