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Engineering Jobs in Repentigny, QC

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Engineering • repentigny qc

Last updated: 1 day 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

Lead mécanique - Génie industriel et manufacturier / Mechanical lead - Industrial and Manufacturing Engineering

Hitachi RailVarennes, Quebec, Canada
Full-time

En tant que Lead mécanique – Génie industriel, vous jouerez un rôle clé au sein d’un environnement industriel lourd où les équipements mécaniques sur mesure, les procédés de fabrication mécano‑soud...Show more

Civil Projet Manager

Randstad CanadaMontréal-Est, Quebec, CA
Permanent
Quick Apply

If the smell of fresh concrete and the challenge of managing asbestos removal at an airport on a Monday morning sounds more like an adventure than a chore, we need to talk.Managing 5 to 6 major dec...Show more

Lead Data Engineer (contrat 6+ mois)

DELANEst de Montréal, QC, ca
Full-time

Nous sommes présentement à la recherche d’un Lead Data Engineer pour un contrat d'une durée de 6+ mois avec possibilité de renouvellement.Diriger la conception et le développement de solutions de d...Show more

Technicien d’exploitation de centre de données / Data Center Operation Technician, DCEO, DCEO

Amazon Data Services Canada, Inc.Varennes, Quebec, CAN
Full-time

Amazon Web Services (AWS) est en forte croissance et est à la recherche d’un technicien d’exploitation de centre de données pour rejoindre son équipe d’exploitation des infrastructures de centre de...Show more

Data Architecture & Governance Advisor - Spanish Required

Cuso InternationalRepentigny, Quebec
Permanent

This Volunteer Placement is Located in:.Please submit a Spanish Resume and Statement of Interest.Open to Canadian Citizens and Permanent Residents of Canada only.This volunteer placement offers a u...Show more

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Control-M SME

Nöord Technologies CorporationDowntown Montreal East, QC, ca
Full-time

Control-M Automation Engineer (Infrastructure & API Expert).At Nöord Technologies, we empower top-tier financial institutions with exceptional talent in banking and capital markets.We are currently...Show more

Contrôleur I Contrôleuse de couts

EBC Inc.Montreal East, QC, ca
Full-time
Quick Apply

EBC sort des sentiers battus et déploie tout son savoir-faire pour réaliser des projets d’infrastructures majeurs : ponts, routes, autoroutes, tunnels, parcs éoliens, projets hydroélectriques et in...Show more

Bilingual Regional Human Resources Business Partner - Montreal

MCASPHALT INDUSTRIES LTDMontreal, Quebec, CA, H1B 1C2
Full-time

McAsphalt is the industry leader in Canada specializing in asphalt products and services.Founded in 1970 by Leo McArthur and John Carrick, the company has since grown to over 500 employees spanning...Show more

R&D Winding Technical Lead

Hitachi RailVarennes, Quebec, Canada
Full-time

We’re looking for an experienced Winding Program Technical Lead to lead the Winding Program within Power Transformers.You will manage and coordinate a portfolio of R&D projects focused in the windi...Show more

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Data Engineer-Hybrid(Montreal )

Data Engineer-Hybrid(Montreal )

UpstaffMontreal East, QC, ca
6 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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Current Location:
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Skype ID:
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(5 Time slots for Next 3 Business Days):


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