Cloud Data Engineer

Position: Cloud Data Engineer

Location: Toronto, ON

Job ID#: RQ11099 

Duration: 16 Months

Role Overview

We are seeking a skilled DataOps / Cloud Data Engineer to design, build, and support modern cloud‑based data platforms. This role focuses on developing scalable data pipelines, transforming complex datasets, and enabling analytics through robust data warehouse and lakehouse architectures in cloud environments.

Key Responsibilities

• Design, develop, test, implement, and troubleshoot end‑to‑end data pipelines
  
• Build and maintain complex data transformation processes
  
• Develop and optimize data models for data warehouses and lakehouse platforms
  
• Work with structured and unstructured data from multiple sources
  
• Support full SDLC activities including requirements gathering, design, testing, deployment, and production support
  
• Collaborate with stakeholders using agile, scrum, or waterfall delivery models
  
• Participate in change, incident, and production support processes
  

Qualifications & Skills

Data Engineering (40%)

• Strong programming and scripting skills: Python, SQL, Linux shell, PowerShell
  
• Data manipulation and analysis using pandas and PySpark
  
• Experience working with XLSX, CSV, JSON, relational databases, and cloud storage
  

Cloud & Lakehouse Experience (25%)

• Hands‑on experience with AWS and/or Azure
  
• Cloud data warehouse platforms (e.g., AWS Redshift)
  
• Data lakehouse platforms such as Databricks (Delta Lake)
  
• Data orchestration and automation solutions
  

Data Warehousing & ETL (25%)

• Experience with ETL tools such as Azure Data Factory, AWS Glue, and cloud‑agnostic platforms like Informatica IDMC
  
• Strong knowledge of data modeling and architecture (relational and dimensional)
  
• Data reporting and visualization exposure
  

Additional Skills (10%)

• Full SDLC experience
  
• Agile/Scrum and Waterfall methodologies
  
• Strong communication, presentation, and stakeholder engagement skills
  
• Consulting mindset with strong problem‑solving and decision‑making abilities
  
• Experience working in Ontario Public Sector (OPS) or public sector environments
  

MUST‑HAVE REQUIREMENTS

• Data engineering using pandas and PySpark
  
• Hands‑on experience with Databricks / Delta Lake
  
• Strong experience handling structured and unstructured data
  
• AWS services including Glue, Step Functions, Lambda, and S3
  
• ETL development using tools such as Informatica IDMC
  

About Symbiotic Digital

Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.)

We serve customers in two ways:

1. Digital Experts: IT consulting expertise — Bright Minds That Produce Proven Results
   
2. Recruitment: Find The Right People You Need
   

Serving IT & Business leaders, Symbiotic Digital enables organizations to solve complex business and technology challenges by providing proven technical experts evaluated through our QMS – Quality Management System Staff Development Model. We are a 100% Indigenous‑owned company.

Learn more: https://www.symbioticgroup.com/home-sd/