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/