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Etl Jobs in Quebec (NOW HIRING)

Maarut

CA$1 - CA$11/hr

REST APIs * ETL Tools * Data Governance * Azure / AWS * Workflow Development * Data Stewardship Solutions

Solution SFT

Analyste de données sénior

Montreal, QC · On-site

Définir la partie mappage de la solution BI en fonction des besoins d'affaires, de l'architecture des données IA et de l'architecture ETL; * Concevoir de manière fonctionnelle les traitements de ...

Solution SFT

Analyste de données sénior

Quebec, QC · On-site

Définir la partie mappage de la solution BI en fonction des besoins d'affaires, de l'architecture des données IA et de l'architecture ETL; * Concevoir de manière fonctionnelle les traitements de ...

Solution SFT

Analyste de donnees senior

Quebec, QC

Definir la partie mappage de la solution BI en fonction des besoins d'affaires, de l'architecture des donnees IA et de l'architecture ETL; * Concevoir de maniere fonctionnelle les traitements de ...

Grizzlytrek Group

Data Migration Lead

Montreal, QC · On-site

CA$45 - CA$75/hr

Coordinate extraction, cleansing, transformation, and load (ETL) activities across internal SMEs, migration partners, and global PLM teams. * Assess and govern non-Teamcenter sources of product data ...

Maarut

REST APIs \n * ETL Tools \n * Data Governance \n * Azure \/ AWS \n * Workflow Development \n * Data Stewardship Solutions \n \n \n \n \n \n

Tech Talent International

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

Responsibilities Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions Coordinate with multiple development teams to achieve delivery objectives Provide support in ...

Targeted Talent

2 - Senior Data Engineer

Montreal, QC · On-site

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Targeted Talent

2 - Senior Data Engineer

Quebec, QC · On-site

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Targeted Talent

2 - Senior Data Engineer

Montreal, QC · On-site

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Targeted Talent

2 - Senior Data Engineer

Quebec, QC · On-site

Strong experience working with both batch and real-time ETL involving large data sets * Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL ...

Ciao

Analyste de données senior

Quebec, QC

Définir la partie mappage de la solution BI en fonction des besoins d'affaires, de l'architecture des données IA et de l'architecture ETL: Concevoir de manière fonctionnelle les traitements de ...

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All JobsEtl JobsEtl Jobs in Quebec

Etl information

What is an ETL job?

ETL stands for Extract, Transform, Load, which refers to a process used in data integration and management. ETL jobs involve extracting data from various sources, transforming it into a consistent format, and loading it into a destination system such as a data warehouse. Professionals working in ETL design, develop, and maintain these processes to ensure data is accurate, reliable, and ready for analysis. ETL is essential for organizations that need to consolidate data from multiple sources for business intelligence and reporting.

Is ETL in demand now?

ETL (Extract, Transform, Load) specialists are in high demand due to the growth of data-driven decision-making and the increasing need for data integration in organizations. Skills in tools like Apache NiFi, Talend, or Informatica, along with knowledge of databases and scripting, enhance job prospects in this field.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need strong skills in data analysis, SQL, database management, and a background in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and possibly certifications in data engineering or relevant platforms, is typically expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills are vital to ensure accurate, efficient, and reliable data integration processes that support business intelligence and decision-making.

What is the difference between Etl vs Data Analyst?

AspectEtlData Analyst
Required CredentialsTypically requires knowledge of SQL, scripting, and data warehousing toolsRequires skills in statistics, data visualization, and often a degree in analytics or related fields
Work EnvironmentData integration and pipeline development in data warehouses or ETL toolsData interpretation, reporting, and visualization in business or research settings
Industry UsageUsed in data engineering, data warehousing, and BI projectsUsed across industries for insights, reporting, and decision-making

ETL (Extract, Transform, Load) specialists focus on building data pipelines to move and prepare data for analysis. Data Analysts interpret and visualize data to support business decisions. While ETL involves technical data processing, Data Analysts focus on analyzing and presenting data insights.

What are some typical challenges faced by ETL professionals during data integration projects?

ETL professionals often encounter challenges such as handling inconsistent or incomplete data, optimizing performance for large-scale data loads, and ensuring data security during transfers. Coordination with multiple teams—like data architects, business analysts, and database administrators—is essential to clarify data requirements and resolve issues quickly. Additionally, adapting ETL processes to evolving business needs and new data sources requires a proactive and problem-solving mindset.
What job categories do people searching Etl jobs in Quebec look for? The top searched job categories for Etl jobs in Quebec are:
Etl jobs near you
Infographic showing various Etl job openings in Quebec as of August 2026, with employment types broken down into 82% Full Time, 3% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Java Data Engineering Developer

Bounteous

Montreal, QC • On-site

Full-time

Re-posted 28 days ago

Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

As part of this team, you will be undertaking a large-scale migration from on-premise data infrastructure - including Teradata and legacy tooling - to a modern, cloud-first data platform built on Databricks and Snowflake. As part of this engagement, consultants will embed directly with the client's engineering team, contributing hands-on to the migration, modernization, and optimization of enterprise-scale backend and data processing systems.
Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
Responsibilities:
  • Develop and maintain Java-based backend and data processing components
  • Support migration of legacy ETL pipelines to cloud-native architecture
  • Design, build, and optimize scalable data pipelines and services
  • Collaborate with engineering and architecture teams on modernization initiatives
  • Integrate modern cloud data technologies into the platform ecosystem
  • Troubleshoot and improve performance of backend services and ETL workflows
  • Participate in testing, deployment, and production support activities
Required Skills:
  • Strong hands-on Java development experience
  • Experience with backend/distributed systems development
  • Solid experience with ETL pipelines and data engineering
  • Experience migrating on-prem platforms to cloud environments
  • Hands-on experience with Databricks
  • Experience with Snowflake or similar cloud data warehouse technologies
  • Strong understanding of cloud-first and distributed data architectures
  • Experience working in enterprise-scale environments
Nice to Have:
  • Experience with Teradata
  • Experience with Spark / big data technologies
  • Cloud platform experience (AWS, Azure, or GCP)
  • Experience in financial services environments
We invite you to stay connected with us by subscribing to our monthly job openings alert here.
 
Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 
 
For employment opportunities based in Canada:
Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. 
 
*Must be legally eligible to work in Canada. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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