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Electronics engineer Jobs in Repentigny, QC

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Electronics engineer • 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

Ingénieur des contrôles de centre de données, Nouvelles régions (Canada) - Data Center Controls Engineer, Canada

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

Chez Amazon, nous nous efforçons d'être l'entreprise la plus centrée sur le client au monde.Pour y parvenir, nous avons besoin de personnes exceptionnellement talentueuses, brillantes et motivées.E...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

Pre-Sales Engineer

A & A ConsultantsRepentigny, QC, CA
Permanent

In collaboration with the sales and technical teams, you will design effective, sustainable solutions perfectly adapted to our clients' real-world needs.You will be the bridge between client needs ...Show more

Ingénieur des procédés / Process Engineer

Hitachi RailVarennes, Quebec, Canada
Full-time

Rejoignez notre équipe dynamique à l’usine de Varennes, un centre d’excellence en fabrication de transformateurs de puissance.En tant qu’ingénieur de procédés, vous ferez partie d’une équipe d’expe...Show more

Plant Engineer

AirgasVarennes, QC, Boul. Marie, Victorin, ASU
Full-time

GROW?We are committed to building a diverse and inclusive workplace that embraces the unique perspectives of our employees, our customers, patients, community stakeholders, and cultures across the ...Show more

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Data Engineer-Hybrid(Montreal )

Data Engineer-Hybrid(Montreal )

UpstaffMontreal East, QC, ca
2 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