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Data Jobs in Longueuil, QC

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Data • longueuil qc

Last updated: 1 day 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

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, adapting to weather, obsta...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

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

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

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 anal...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

Data Engineer

SereneAidBoucherville, Qc
Full-time

Location: Montreal, QC ( 3 days onsite is must).Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.Migrate existing data...Show more

Data Engineer ( Data & AI)

CGIMontreal, Canada
Full-time

At CGI, we shape the future of artificial intelligence through practical and responsible solutions.Our AI Practice in Montréal is rapidly growing and brings together passionate experts who design, ...Show more

Data Scientist

Alltech Consulting ServicesMontreal Quebec, Canada
Full-time

We are a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.We advise, originate, manage and distr...Show more

Junior Data Analyst

AmexioLongueuil, QC, CA
Full-time
Quick Apply

We help businesses with their digital growth in the areas of.Customer Communication, and Structured Content Management.Join our dynamic and innovative team! Explore exciting career opportunities no...Show more

Medical Data Reviewer

ICONMontreal, Canada
Permanent

ICON plc is a world-leading healthcare intelligence and clinical research organization.We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join u...Show more

DATA SCIENTIST

RED TICMontréal
Permanent

Collecter, nettoyer et structurer des données issues de sources diverses (bases de données, API, fichiers logs, etc.Concevoir, entraîner et déployer des modèles de machine learning pour résoudre de...Show more

Data Analyst

Alpe ConceptionMontréal, Québec, CA
Full-time

Lien pour partager cette offre d'emploi.Are you passionate about data and ready to make a significant impact?.ALPEconnexion is seeking a Data Analyst to join our dynamic team and contribute to our ...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 Scientist II

Intact Financial CorporationMontréal, Quebec, CAN
Full-time

We’re looking for a Data Scientist II to join our growing team!.Utilize machine learning and advanced statistical methods to identify trends and patterns in complex datasets.Convert complex databas...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.Con...Show more

Data Owner Senior

APRILBrossard, Quebec, Canada
Full-time

Lauréat du meilleur service client 2023 avec son entité Marine et Innovateur Digital de l’année en 2022, APRIL au Canada est un courtier grossiste spécialisé dans l’assurance de dommage distribuée ...Show more

Data Developer

Data Developer

UbisoftMontreal, QC, CA
10 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.