Data Modeler / Analytics Engineer | Toronto (On-site) | $80K-$100K

CQ Search Group Ltd.

Toronto

On-site

CAD 70,000 - 90,000

Full time

14 days+
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Job summary

A Toronto-based data intelligence company is seeking a data professional to design schemas and model data from various sources. You will transform raw and unstructured data into organized datasets and collaborate with engineering teams to meet data requirements. The ideal candidate has solid SQL and hands-on data modeling experience, with familiarity in NoSQL and unstructured formats. Join a dynamic team focused on data governance and high-value dataset creation.

Qualifications

  • 2-4 years of experience in a data engineering or analytics engineering role.
  • Experience with unstructured data formats like JSON, XML, PDF processing.
  • Solid understanding of schema design and data governance.

Responsibilities

  • Schema design and data modeling across various data sources.
  • Develop data dictionaries and documentation standards.
  • Transform raw data into clean, queryable datasets.
  • Collaborate with engineering and product teams on data needs.

Skills

SQL
Data modeling
Cross-functional collaboration

Tools

NoSQL
GCP
BigQuery

Job description

Toronto-based data intelligence company that turns millions of unstructured public documents into high-value datasets powering infrastructure markets across North America.

Looking for a data professional who can take messy, fragmented data sources and impose structure through solid schema design, standardization, and governance work.

What you'll own:
  • Schema design and data modeling across structured and unstructured sources
  • Data dictionaries and documentation standards
  • Transforming raw, unstructured inputs into clean, queryable datasets
  • Collaborating with engineering and product teams on data requirements
What we're looking for:
  • Solid SQL and hands-on data modeling experience
  • Exposure to NoSQL and unstructured data formats (JSON, XML, PDF processing) (REQUIRED)
  • GCP or BigQuery experience is a plus
  • Comfortable working cross-functionally
  • 2-4 years of experience in a data engineering or analytics engineering role
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