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Data Profiling Jobs in Brampton, ON (NOW HIRING)

GFR Technologies SE

Sr.Data Analyst

Toronto, ON · On-site

Conduct data profiling to identify quality issues and migration risks. * Define field-level mappings from source schemas to target structures. * Establish transformation rules, defaulting strategies ...

Scotiabank

Data Engineer

Toronto, ON

Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering and development practices within your squad. Collaborate, generate ideas ...

Scotiabank

Data Engineer

Toronto, ON

Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering and development practices within your squad. Collaborate, generate ideas ...

Td

Data Engineer II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and ...

Td

IT Data Specialist

Toronto, ON · On-site

CA$96K - CA$136K/yr

Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis * Provide support to the development and testing teams to resolve data issues * Support the user ...

Scotiabank

Senior Data Software Engineer

Toronto, ON · On-site

Design and develop data quality, data profiling and data classification solutions * Lead technical design discussions and drive architectural decisions for data management solutions * You will ...

Ci

Data Governance Specialist

Toronto, ON · On-site

Working knowledge of SQL for data profiling and analysis. * Ability to interpret data models, dashboards, and query logic. * Familiarity with databases and data platforms (e.g., Snowflake, Oracle) is ...

Aecon Group Inc.

Data Steward

Toronto, ON · On-site

Provide data profiling information, lineage context, and business definitions that help end users assess whether data is fit for their reporting, analytics, and decision-making needs. * Investigate ...

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Strong data profiling, mapping, and reconciliation skills. * Excellent analytical and problem-solving abilities in ambiguous environments. * Strong communication skills to work with both technical ...

Moneris

Business Data Analyst (Contract)

Toronto, ON · Hybrid

CA$71K - CA$100K/yr

Ensure data quality through data profiling, validation, and analysis of data from multiple sources and platforms. * Develop and maintain knowledge of enterprise data assets, upstream data sources ...

Scotiabank

Manager, Data Engineer

Toronto, ON · On-site

Applies iterative development practices across all phases of data solution delivery, including data profiling, ingestion, transformation, modeling, cleansing, conforming, enrichment, and aggregation ...

Td

Data Designer II

Toronto, ON · On-site

CA$76K - CA$115K/yr

Perform data profiling using TD tooling and ad hoc system query languages to validate data prototyping solutions * Provide support throughout data lifecycle to resolve data issues and support user ...

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Data Profiling information

What is data profiling?

Data profiling is the process of examining, analyzing, and summarizing data from existing sources to understand its structure, content, and quality. It helps organizations identify inconsistencies, errors, and patterns within their data, which is crucial for data quality initiatives, data migration projects, and business intelligence tasks. Data profiling typically involves assessing data types, frequency, uniqueness, and relationships among data elements. The insights gained enable better data management, improved decision-making, and more efficient data integration.

What are some typical challenges faced in a data profiling role and how can they be addressed?

Professionals in data profiling often encounter challenges such as dealing with incomplete, inconsistent, or poor-quality data from various sources. Addressing these issues requires strong analytical skills, attention to detail, and the use of specialized data profiling tools to identify anomalies and patterns. Collaborating closely with data engineers, business analysts, and stakeholders is essential to communicate findings and recommend improvements, ensuring data quality for downstream processes. Regularly updating profiling techniques and staying current with industry best practices also helps in overcoming evolving data challenges.

What are the key skills and qualifications needed to thrive as a data profiling specialist, and why are they important?

To thrive as a Data Profiling Specialist, you need a solid understanding of data analysis, data quality assessment, and database management, often supported by a degree in computer science or a related field. Familiarity with profiling tools such as Informatica, Talend, or Microsoft SSIS, as well as proficiency in SQL and data visualization software, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret results and convey findings to stakeholders. These skills and qualities are crucial for ensuring data accuracy, driving informed business decisions, and improving overall data governance.

What is the difference between Data Profiling vs Data Analyst?

AspectData ProfilingData Analyst
Primary FocusAnalyzing data for quality, structure, and patternsInterpreting data to generate insights and reports
Skills RequiredData analysis, SQL, data quality toolsData analysis, visualization, statistical skills
Work EnvironmentData warehouses, ETL processes, data governanceBusiness intelligence tools, dashboards, reporting platforms
CertificationsData quality certifications, SQL certificationsData analysis certifications, Tableau, Excel

Data Profiling primarily involves examining data sets to assess quality and structure, often as a preliminary step in data management. Data Analysts focus on interpreting data to provide actionable insights and support decision-making. While both roles require analytical skills and familiarity with data tools, Data Profiling emphasizes data quality and structure, whereas Data Analysts concentrate on analysis and reporting.

What does a data profiling do?

A data profiling professional analyzes data sets to assess their quality, structure, and content, identifying inconsistencies, missing values, and patterns. This process helps ensure data accuracy and readiness for analysis or integration, often using tools like SQL or specialized data profiling software. Strong attention to detail and understanding of data management are essential skills for this role.

What are popular job titles related to Data Profiling jobs in Brampton, ON?

For Data Profiling jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Data Profiling jobs in Brampton, ON look for?

The top searched job categories for Data Profiling jobs in Brampton, ON are:

Data Profiling jobs near you
Infographic showing various Data Profiling job openings in Brampton, ON as of August 2026, with employment types broken down into 70% Full Time, 8% Part Time, 2% Temporary, and 20% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Sr.Data Analyst

GFR Technologies SE

Toronto, ON • On-site

Full-time

Posted 17 days ago

Job description

GFT is seeking a Senior Data Migration Strategist to support a large-scale enterprise transformation initiative. The successful candidate will be responsible for defining migration strategies, performing data analysis and mapping activities, and supporting the successful migration of critical business data across complex environments.

Key Responsibilities Data Analysis & Mapping
  • Conduct data profiling to identify quality issues and migration risks.
  • Define field-level mappings from source schemas to target structures.
  • Establish transformation rules, defaulting strategies, and validation criteria.
  • Perform segmentation analysis to support tranche planning and sequencing.
  • Conduct pre-load analysis to identify data elements suitable for advance staging, reducing migration complexity.
Strategic Analysis & Migration Strategy Definition
  • Define the overall migration strategy, including migration models (rolling-wave and tranche-based execution) and sequencing approaches.
  • Confirm scope across data domains, including customer, account, and transaction data.
  • Establish migration principles, success criteria, and delivery approaches.
  • Align migration sequencing with product readiness and customer segment considerations.
  • Conduct Value Driver Analysis to identify business priorities informing migration sequencing and prioritization.
  • Confirm scope and requirements prior to detailed migration analysis activities.
Required Qualifications
  • Minimum of 15 years of experience in data analysis, data migration, data management, or related fields.
  • Proven experience defining and executing large-scale data migration strategies.
  • Strong expertise in data profiling, data mapping, transformation rules, and data quality analysis.
  • Experience working with customer, account, and transaction data.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Experience in banking, financial services, or other large enterprise environments.
  • Experience with tranche-based or phased migration approaches.
  • Experience supporting large-scale transformation initiatives
Salary range proposal: between 115K and 130K annually

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