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Data collection Jobs in Saint-Constant, QC

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Data collection • saint constant qc

Last updated: 3 days ago

Data Developer

UbisoftMontreal, QC, CA
Full-time

The person in this role works closely with the product team and the data scientist to deliver data and AI solutions that make processes and systems smarter by developing data pipelines aligned with... Show more

Spécialiste - Data Analytics

CA09 Labatt Brewing Company LimitedMontreal, Quebec
Full-time +1

And more than ever, it’s our future.A future where we’re always looking forward.Always serving up new ways to meet life’s moments.A future where we keep dreaming bigger.We look for people with pass... Show more

Geospatial Data Engineer

Shearwater AerospaceMontreal, Quebec, Canada
Full-time

We're Building Autonomous Flight Intelligence  .Drones that think for themselves.Not pre-programmed routes—true autonomy where aircraft make intelligent decisions onboard, ... Show more

Coordonnateur.trice, Collection / Coordinator, Collection

CCAMontréal, Québec, Canada
Full-time

Superviseur immédiat : Directeur.Statut : Contractuel, 3 ans, temps plein (35 heures/semaine).Durée de l'affichage: 22 avril au 6 mai 2026.Entrée en poste: Dès que possible.Grâce à sa vas... Show more

Data Developer

SafelyYouMontreal, CA
Remote
Full-time
Quick Apply

SafelyYou is working to ensure the highest-quality care for seniors in any care setting, anywhere in the world, driven by proven AI, unmatched clinical expertise, and an immeasurable passion for ca... Show more

Data Engineering Team Lead (Localization & Language Data)

Alexa TranslationsMontreal, QC, CA
Full-time
Quick Apply

About Alexa Translations Alexa Translations provides A.Our unique combination of advanced technology and professionally certified translators deliver tailored solutions with unparalleled quality.Th... Show more

Senior Data Engineer

LancesoftMontreal, QC, CA
Full-time
Quick Apply

Experience Level: Level 4 (advanced): 7-10 years.Location: Montreal (Day 1 onboarding onsite / in office presence 3x week).The Corporate Workspace Technology area is currently hiring for the role o... Show more

Valnet | Data Scientist

Valnet Inc.Montreal, QC, CA
Full-time
Quick Apply

Location: Montreal Job Type: Full-Time About the Role: We are seeking a data-driven, business-savvy Data Scientist to support our publishing businesses.Reporting directly to the Portfolio Manager ,... Show more

Remote Photo Collection (Project Asteroid) – Membership cards & Event Tickets - Canada

DataForce by TransPerfectMontreal, Quebec, CA
Remote
Full-time
Quick Apply

We are currently looking for participants to join our.Asteroid Remote Photo Collection – Membership cards & Event Tickets.We are currently looking for participants to join our.Asteroid Remote Photo... Show more

Data Analyst

ADF Medical Services Inc.Montreal, QC, CA
Full-time +1
Quick Apply

We're looking for a sharp, analytical.If you love working with numbers, spotting trends, and making data meaningful — this role is for you.Analytics & Business Intelligence.Collect, clean, and ... Show more

Auditrice / Auditeur Data

Crédit Agricole CIBMONTREAL
Permanent

Types de métiers Crédit Agricole S.L’auditrice / auditeur Data au sein d’IGE est responsable d’acquérir, exécuter, transformer, charger, analyser et visualiser les données brutes provenant des appl... Show more

Manager, Data Engineering

Intact Financial CorporationMontréal, Quebec, CAN
Full-time

Pay at Intact is about much more than just salary.Multiple benefits offered to support.Wellness account and much more.Share plan & other savings: up to.Employee Share Purchase Plan (ESPP) – with In... Show more

Analyste de données – M&V/ Data Analyst - M&V

Trane TechnologiesMontreal, Quebec, Canada
Full-time

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet ... Show more

 • Promoted

Virtual Data Collection Intern (Work-at-Home)

FocusGroupPanelChateauguay, Quebec, Canada
Remote
Full-time +1

Remote Work From Home Data Entry Clerk for Entry Level Position.Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work... Show more

Payroll Data Analyst

SobeysMontréal-Nord, Québ, CA
Full-time

Québec; Alberta; Nova Scotia; Ontario.Montréal-Nord, Mississauga, Alberta, Stellarton.Bureau de Montréal-Nord, Calgary Office, Dartmouth Office, King St.Embark on a rewarding career with Sobeys Inc... Show more

Spécialiste facturation et collection

Artemis RecrutementMontréal, QC, CA
Permanent

Spécialiste facturation et collection.Artemis Recrutement est à la recherche d’un(e) spécialiste facturation et collection pour une firme professionnelle localisée à Montréal Nord.Cette personne re... Show more

Data Developer

UbisoftMontreal, Québec, Canada
Full-time

The person in this role works closely with the product team and the data scientist to deliver data and AI solutions that make processes and systems smarter by developing data pipelines aligned with... Show more

Data Engineer (Intermediate)

CGIMontréal, Québec, Canada
Full-time
Quick Apply

Data Engineer (Intermediate) -.Deliver day-to-day services supporting Investment and Corporate Banking units and their clients as part of Global Banking Technology & Operations (GBTO) in Canada... Show more

Data Developer

Data Developer

UbisoftMontreal, QC, CA
12 days ago
Job type
  • Full-time
Job description

Job Description

The person in this role works closely with the product team and the data scientist to deliver data and AI solutions that make processes and systems smarter by developing data pipelines aligned with the requirements of predictive data models.

They are also responsible for the accessibility and integrity of the required datasets.

Responsibilities

  • Lead the design, implementation, and maintenance of data transport processes required by the data scientist.
  • Perform data transformation operations to feed predictive models.
  • Lead data architecture initiatives to ensure reliable pipelines for both structured and unstructured data.
  • Design scalable data models required for building predictive models.
  • Ensure the transition between the pipeline and the data model.
  • Once predictive models are trained, ensure their integration into applications, systems, and operations.
  • Integrate technologies to develop solutions.
  • Monitor and track data quality (reliability, consistency, integrity) and data flow dynamics.
  • Track performance and report on it to make necessary infrastructure adjustments.
  • Use distributed computing to train models.
  • Contribute to a wide range of projects related to implementing systems, solutions, and both existing and new processes.
  • Perform any other related tasks.

Qualifications

Education

  • University degree in Computer Science, Engineering, or a related field.

Relevant Experience

  • Minimum five years in the industry working with data, coding, scripting, and design.
  • Minimum five years in developing and administering large-scale data systems.
  • Minimum three years in data modeling and administering NoSQL and SQL databases.

Skills

  • Ability to design processes based on data flow concepts and architectures.
  • Ability to extract, transform, and load data to and from systems.
  • Ability to configure, use, and develop data management systems.
  • Ability to develop large, structured software using software engineering methodologies.
  • Ability to use various tools and languages (e.g., Python, SQL, Bash) for system integration.
  • Understanding of Machine Learning.
  • Ability to conduct independent research to solve complex problems.
  • Knowledge of Agile methodologies.

Knowledge

  • Experience with cloud environments (Databricks, Snowflake, AWS).
  • Experience with Iceberg and/or Delta data formats.
  • Experience with COO conceptual models.
  • Experience with Spark, Scala, PySpark.
  • Experience with Flume, NiFi, Kafka, or other data pipeline tools.
  • Experience with REST APIs.
  • Experience with C++, C#, Java, and .NET.
  • Strong knowledge of computer science principles, algorithms, and data structures.
  • Experience with data‑oriented principles and architectures, data flow analysis, and data flow diagrams.
  • Experience in data tuning, cleaning, transport, and integrity.