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Added 8 mins ago
P&
Business Analyst
Parrish & Heimbecker, Limited
Winnipeg, MB
- Full-time
Added 8 mins ago
S
Medical Laboratory Technologist
Sanya’k̓ula
Whistler, BC
- Full-time
Added 8 mins ago
AI
Forward Deployed Engineer (Python/Pyspark and GenAI / LLM)
Apptoza Inc.
Toronto, ON
- Full-time
Added 8 mins ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
…Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven decision-making across the group. This role sits at the heart of that…
Added 8 mins ago
EB
Intern - Strategic Sourcing & Third-Party Management , Winter 2027
EQ Bank
Toronto, ON
- Full-time
…Management, Vendor Governance, Business Process Improvement, Data Analytics, and the practical application of Artificial Intelligence within a regulated financial services…
Added 8 mins ago
MP
U SPORTS Winter Intern
M2 Partners
Toronto, ON
- Full-time
…areas in marketing automation, data management, insights and analytics, and content and digital asset…
Added 8 mins ago
DH
Financial Planning and Analysis Manager
Diploma Healthcare Group
Mississauga, ON
- $96,000 to $120,000 CAD / year
- Full-time
…strategic business decisions by senior management, and use analytics to identify trends and variances to provide proactive…
Added 8 mins ago
BO
Analyst, Loans Modelling & Administration
Building Ontario Fund
Toronto, ON
- Full-time
Minimum of three (3) years’ experience in financial modelling, portfolio analytics, or related quantitative finance work.
Added 8 mins ago
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EPMO Coordinator
Akkodis
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Contract
Added 8 mins ago
VK
Casino Product and Commercial Lead
Van Kaizen
Toronto, ON
- Full-time
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Intermediate Business Analyst
COFOMO
Quebec, QC
- Full-time
Added 8 mins ago
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Summer Student - Customer Service
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Calgary, AB
- Internship
Added 8 mins ago
VR
Director, Corporate Partnerships
Vancouver Rise FC
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Oversee the department’s budget, cost of sales, and business analytics to ensure efficient acquisition and accurate revenue reporting/forecasting
Added 8 mins ago
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Senior Business Analyst (2)
Aplin
AB · Edmonton, AB
- Contract
Added 8 mins ago
UO
Bioinformatics Specialist
University of British Columbia
Vancouver, BC · PHSA | BC Children's Hospital Research Institute - North Block (BCRI CMMT) (BCHRIN)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
Added 8 mins ago
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Financial Crimes Risk Management Associate
TD
Toronto, ON
- Full-time
Added 8 mins ago
M
Marketing Cloud Specialist
Medcan
Toronto, ON
- $85,122 to $117,042.75 CAD / year
- Full-time
· Monitor campaign performance and recommend optimizations through testing, analytics, Salesforce Einstein capabilities, and AI-driven enhancements.
Added 8 mins ago
Customer Data & Identity Specialist (CDP/CRM ecosystem)
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Montreal, QC
…resolution rules, and the business-ready data model that fuels analytics, activation, and…
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Senior Business Analyst
Mariner
Halifax, NS
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Specialist, Talent Management
Payments Canada
Ottawa, ON · Toronto, ON
Added 8 mins ago
Customs Operations Specialist
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
Added 8 mins ago
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Senior Advisor, Data engineering
Desjardins
Levis, QC · Montreal, QC
- Full-time
Added 8 mins ago
Manager, Strategic Partnerships & Growth
Scotiabank
Ottawa, ON
Skilled in using market intelligence, data and analytics to evaluate opportunities, establish performance measures and inform decisions.
Added 8 mins ago
C
Application Development Lead, Vice President
Citi
Mississauga, ON
- Full-time
Added 8 mins ago
C
Applications Development Tech Lead Analyst - VP
Citi
Mississauga, ON
- Full-time

Kumaran Systems

ETL QA

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

Original job description

Role Overview

We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal candidate will be responsible for validating large-scale data pipelines, ensuring data quality, and leveraging tools like GitHub Copilot, GitHub Actions/Runners, and AI agents to improve testing efficiency and coverage. You will also contribute to building and validating AI-powered knowledge bases.

Required Skills & Experience

Core Technical Skills
- Strong hands-on experience in Databricks (notebooks, jobs, clusters, Delta Lake, SQL).
- Expert-level PySpark skills, including transformations, actions, window functions, and optimization techniques.
- Solid understanding of ETL/ELT concepts, data warehousing, and data modeling (star/snowflake schemas, dimension/fact tables).
- Proven experience in data validation, data quality checks, and reconciliation techniques.
- Practical experience with GitHub, GitHub Copilot, and GitHub Actions/Runners for CI/CD pipelines.
AI & Prompt Engineering
- Experience crafting effective prompts for large language models (LLMs) for coding, testing, and documentation.
- Exposure to agent-based architectures or tools (e.g., workflow/agent frameworks that orchestrate multi-step AI tasks).
- Familiarity with AI-based tools for code analysis, test generation, or knowledge management.
Knowledge Base & Documentation
- Experience building AI-driven knowledge bases or documentation systems (e.g., using vector search, embeddings, or LLM-based retrieval).
- Strong documentation skills, with the ability to translate complex data/QA concepts into clear knowledge articles.
Testing & QA Practices
- Strong understanding of QA methodologies: test planning, test design, defect management, and regression testing.
- Experience with automated testing frameworks (Python-based testing libraries such as pytest, unittest, or similar).
- Familiarity with data quality tools/practices (e.g., validation rules, thresholds, anomaly detection).

Key Attributes

Strong analytical and problem-solving skills with a detail-oriented mindset.
Passion for data quality, automation, and continuous improvement.
Ability to work in an agile, fast-paced environment and collaborate across multiple teams like Business and operations team and AD team.
Curiosity and openness to adopting new AI tools and practices for QA.

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More about this job

Responsibilities

The ETL QA Engineer will validate large-scale data pipelines and ensure data quality using Databricks and PySpark. They will also leverage AI-assisted tools and prompt engineering to improve testing efficiency and contribute to AI-powered knowledge bases.

Requirements

Candidates must have over 5 years of experience with strong technical skills in Databricks, PySpark, and ETL processes. Proficiency in AI-based tools, prompt engineering, and standard QA methodologies is required.

Skills

Databricks
PySpark
ETL
Data Quality
GitHub Copilot
GitHub Actions
Prompt Engineering
Data Modeling
SQL
Delta Lake
CI/CD
Python
Test Automation
Data Warehousing
LLM
Vector Search

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
ETL
ELT
Data Quality
GitHub Copilot
GitHub Actions
Prompt Engineering
LLM
Data Modeling
SQL
Delta Lake
CI/CD
Python
Pytest
Unittest
Data Warehousing
Vector Search
Embeddings
Regression Testing
Defect Management
Agile
Automation
Data Pipelines
Knowledge Management
Star Schema
Snowflake Schema
Anomaly Detection
Transformation
Optimization

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