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Cloud Data Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Symbiotic Group
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Big Data, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Overview

We are seeking a skilled Data Ops / 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
  • Strong programming and scripting skills:
    Python, SQL, Linux shell, Power Shell
  • Data manipulation and analysis using pandas and Py Spark
  • 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 )
  • Datalakehouse 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
  • Data engineering using pandas and Py Spark
  • 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
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