What are the most popular job searches in Repentigny, QC?

The 10 most popular job searches in Repentigny, QC are: cost analyst it auditor applications developer it director it manager it support it support specialist java developer junior developer junior software developer

Which cities in Canada offer the highest salaries for machine jobs?

The top 10 cities are: Toronto, ON ( from $ 33,150 to $ 147,496 year ) Old toronto, ON ( from $ 33,150 to $ 139,834 year ) North Vancouver, BC ( from $ 36,075 to $ 130,000 year ) Fort McMurray, AB ( from $ 43,661 to $ 124,674 year ) Vancouver, BC ( from $ 36,075 to $ 123,341 year ) Regina, SK ( from $ 38,756 to $ 120,197 year ) Ottawa, ON ( from $ 32,804 to $ 108,440 year ) Thunder Bay, ON ( from $ 35,100 to $ 105,000 year ) Leduc, AB ( from $ 41,925 to $ 94,512 year ) Repentigny, QC ( from $ 38,025 to $ 91,100 year )

Machine Jobs in Repentigny, QC

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Machine • repentigny qc

Last updated: 2 days ago

Data Engineer-Hybrid(Montreal )

UpstaffMontreal East, QC, ca

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

SereneAidMontreal East, QC, ca

Full-time

Chercheur(euse)

Hydro-QuébecVarennes, QC, CA

Temporary

Chercheur(euse) (Temporaire, durée approximatif 24 mois) .Lionel-Boulet (Pavillon Lionel-Boulet, IREQ) .Le titre du poste affiché peut être différent de celui indiqué à la rubrique «Titre interne» ...Show more

Chargé de projets manufacturier / Project Manager - Manufacturing

Hitachi RailVarennes, Quebec, Canada

Full-time

À Hitachi Énergie, nous façonnons un avenir énergétique durable pour tous.En tant que Chef de projets en ingénierie mécanique, vous dirigerez des projets stratégiques visant à améliorer nos install...Show more

Opérateur de machine agglomération - Composantes électriques - Poste de nuit

WAJAXPointe-aux-Trembles, QC, CA

Full-time

Le titulaire du poste sera responsable d'opérer la machine servant à agglomérer des pôles de rotors pour la production d'énergie hydro-électrique.Procéder au montage mécanique nécessaire à l’agglom...Show more

Welder-assembler

Comptoir Agricole Ste-Anne Inc.Repentigny, QC, Canada

Permanent

Heures de travail: 40 hours per week.College, CEGEP or other non-university certificate or diploma from a program of 1 year to 2 years.Interpret welding process specifications.Operate manual or sem...Show more

Personalized Internet Assessor - Persian (CA)

TELUS InternationalRepentigny, Quebec

Part-time

Looking for a freelance opportunity where you can make an impact on technology from the comfort of your home? If you are dynamic, tech-savvy, and always online to learn more, this part-time flexibl...Show more

Remote Senior Data Scientist - AI Trainer

SuperAnnotateRepentigny, Quebec, CA

Remote

Full-time

As a Senior Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions...Show more

Mecanicien machinerie roulante

Randstad CanadaMontréal-Est, Quebec, CA

Permanent

Quick Apply

Vous possédez un talent naturel pour diagnostiquer les pannes et vous aimez que tout roule comme sur des roulettes ? Nous recherchons actuellement un mécanicien de machinerie roulante pour rejoindr...Show more

Data Engineer-Hybrid(Montreal )

UpstaffMontreal East, QC, ca

9 days ago

Job type

Full-time

Job description

Job Description

Client: Morgan Stanley

Position: Data Engineer

Location: Montreal, QC ( 3 days onsite is must)

Duration: 12+ Months

In person interview is MUST.

Data Engineer

KEY RESPONSIBILITIES:

Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
Identify and optimize new/existing data workflows.
Identify and implement data integrity practices.
Integrate data governance and data science tools with Snowflake ecosystem as per practice.
Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
Collaborate with team members to design and implement effective data workflows and transformations.
Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
Participate in code reviews and provide constructive feedback to improve team deliverables quality
Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
Design, implement data distribution layer using Snowflake REST API.

SKILLS / QUALIFICATIONS

Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Excellent problem-solving skills and team-oriented mindset
Strong data modelling concepts and schema design on relational data store and on cloud data store
Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required

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Requirements

SKILLS / QUALIFICATIONS

Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
Snowflake REST API experience is required
Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets
Informatica ETL and/or Talend ETL experience.
Efficient SQL and PLSQL queries development and Python scripts development experience.
Proven ability to work in distributed systems
Proficiency with relational databases (such as DB2) querying and focus on data transformations.
Excellent problem-solving skills and team-oriented mindset
Strong data modelling concepts and schema design on relational data store and on cloud data store
Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.
Familiarity with data visualization tools such as Tableau and PowerBI is a plus.
Collaborating with data scientists/experts to integrate machine learning models into Snowflake
Data Warehousing background is required

Requirements
SKILLS / QUALIFICATIONS Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred) 5 to 10 years’ experience in data analysis, data objects development and modeling in Snowflake data store. Snowflake REST API experience is required Experience with building data pipelines from legacy to Snowflake for unstructured and semi structured datasets Informatica ETL and/or Talend ETL experience. Efficient SQL and PLSQL queries development and Python scripts development experience. Proven ability to work in distributed systems Proficiency with relational databases (such as DB2) querying and focus on data transformations. Excellent problem-solving skills and team-oriented mindset Strong data modelling concepts and schema design on relational data store and on cloud data store Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles. Familiarity with data visualization tools such as Tableau and PowerBI is a plus. Collaborating with data scientists/experts to integrate machine learning models into Snowflake Data Warehousing background is required