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Aws Data Analytics Jobs in Quebec (NOW HIRING)

Bounteous

Data Engineer

Montreal, QC · On-site

... analytics (metrics reporting), and operational risk reporting. This global team is made up of ... Experience in cloud platforms (Azure/GCP/AWS) good to have We invite you to stay connected with us ...

Td

Actuarial Analyst III

Montreal, QC · On-site +1

CA$130/hr

Data & Analytics Pay Details: 100 000 $/$100,000 - 130 000 $/$130,000 CAD TD is committed to ... Experience with cloud computing platforms (AWS, Azure, or GCP) * Knowledge of modern data ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Experience working with cloud services, specifically AWS are considered a bonus Some AWESOME ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Experience working with cloud services, specifically AWS are considered a bonus Some AWESOME ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Experience working with cloud services, specifically AWS are considered a bonus Some AWESOME ...

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ... Experience working with cloud services, specifically AWS are considered a bonus Some AWESOME ...

Jestais

Perform exploratory data analysis (EDA), model diagnostics, and data quality assessments ... Build scalable batch inference and feature pipelines on AWS SageMaker and Azure ML. * Contribute to ...

Jesta I.S.

Perform exploratory data analysis (EDA), model diagnostics, and data quality assessments.Engineer ... Build scalable batch inference and feature pipelines on AWS SageMaker and Azure ML.Contribute to CI ...

United Airlines

Data Engineer - Snowflake

Montreal, QC · On-site

Collaborate with business analysts data engineers architects and application teams to deliver end ... Experience with cloud platforms such as Azure AWS or GCP * Knowledge of Git CICD pipelines and ...

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Aws Data Analytics information

What is an AWS Data Analytics?

An AWS Data Analytics job involves designing, implementing, and managing data solutions using AWS services. Professionals in this role work with tools like AWS Glue, Amazon Redshift, AWS Lambda, and Amazon QuickSight to collect, process, and analyze large datasets. They help organizations make data-driven decisions by building scalable and efficient analytics pipelines. The role requires knowledge of cloud computing, data warehousing, big data technologies, and security best practices.

What are the key skills and qualifications needed to thrive in AWS Data Analytics?

To succeed in an AWS Data Analytics role, you need a strong background in data analysis, cloud computing, and database management, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, Glue, Athena, and SageMaker, as well as certifications such as AWS Certified Data Analytics, are highly valued. Critical thinking, collaboration, and effective communication skills help professionals interpret data insights and work efficiently with cross-functional teams. Mastery of these abilities ensures accurate, scalable data solutions and facilitates impactful business decision-making in cloud environments.

What are the daily responsibilities of an AWS Data Analytics professional?

In an AWS Data Analytics role, your daily activities may include designing and maintaining cloud-based data pipelines, processing and transforming large datasets, performing advanced data queries, and generating reports or dashboards for stakeholders. You will often collaborate with software engineers, data scientists, and business analysts to ensure data solutions are reliable and align with organizational goals. Continuous monitoring for performance optimization and troubleshooting any pipeline or infrastructure issues are also critical parts of the job. This dynamic environment offers the chance to work on diverse projects, enhancing both technical expertise and business understanding.

What are popular job titles related to Aws Data Analytics jobs in Quebec?

For Aws Data Analytics jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Aws Data Analytics jobs in Quebec look for?

The top searched job categories for Aws Data Analytics jobs in Quebec are:

Aws Data Analytics jobs near you
Infographic showing various Aws Data Analytics job openings in Quebec as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

Data Engineer

Bounteous

Montreal, QC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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.

The candidate will join a team responsible for building scalable, high-performance databases and components that support regulatory, business analytics (metrics reporting), and operational risk reporting. This global team is made up of highly technical members who can move comfortably between hands-on development and project management. We run multiple projects across several business areas at the same time. Because the business owners and subject matter experts are spread across the globe, strong, proactive communication is essential. You will be expected to collaborate closely with our operations partners to define project requirements. Development follows an agile methodology grounded in Scrum (timeboxing, daily scrum meetings, retrospectives, and so on), Kanban Jira boards, and XP best practices (continuous integration, refactoring, unit testing, and so on). The candidate should be comfortable working collaboratively as part of a larger team.
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:
  • Design and build scalable ETL pipelines to ingest, transform and load large volumes of OTC derivatives data for downstream reporting and analytics.
  • Develop and optimize database objects, stored procedures and batch processes that support ETL workflows, report generation and data delivery.
  • Design data models, schemas, SQL views and stored procedures to support efficient ETL processing and regulatory, operational and business reporting.
  • Build and maintain real-time and batch ETL pipelines for trade and confirmation data ingestion, transformation, reconciliation and report-ready data provisioning.
  • Support data migration and onboarding activities by building validation routines, reconciliation checks and ETL cutover processes to ensure reporting continuity.
  • Develop, automate and support regulatory and business reports using Python, SQL stored procedures and enterprise reporting platforms such as Business Objects and Tableau.
  • Write complex SQL queries, stored procedures and reusable reporting logic to generate accurate, timely outputs for business users and regulatory consumers.
  • Ensure strong data controls, access governance and quality checks across ETL pipelines, reporting datasets and database environments.
  • Participate in Agile delivery and contribute to automation, scheduling and CI/CD practices for ETL jobs, reporting workflows and production deployments.
  • Provide production support for ETL and reporting processes, including job monitoring, issue triage, data reconciliation and root cause analysis.
Requirements:
  • 3-5 years of experience in ETL and reporting development
  • 3-5 years of experience with SQL and writing stored procedures
  • 3-5 years of experience building ETL pipelines
  • 3-5 years  of experience in Snowflake and DB2 databases.
  • Strong knowledge of SQL for reporting and data analysis
  • Have Worked in Agile, DevOps and Git
  • 3-5 years of experience with Python for ETL and report generation
  • Perform of data validation and reconciliation.
  • Knowledge of reporting tools such as Business Objects or Tableau is good to have.
  • Experience in cloud platforms (Azure/GCP/AWS) good to have
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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