Data Engineer Jobs in Montréal
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Search Results - Data Engineer Jobs in Montréal
Prestige Staffing-Montréal
MongoDB Administrator - Data Engineer permanent with Genpact in Montreal, QC
Hybrid - 2-1 days onsite downtown Montreal, QC location
Pay: CAD C$90,000 to C$100,000 w/full benefits
CANDIDATE DETAILS
5+ to 7 years experience
Seniority Level - Mid...
epsilonsolutions-Montréal
Role: Senior Data Engineer
Exp: 10+ Years
Montreal, QC Local candidates only
Who You Are
• Want to be part of cutting edge, high visibility projects and are motivated by delivering world-class solutions on an aggressive schedule
• Someone who...
Tiger Analytics-Montréal
in the world.
We are seeking an experienced Sr. Data Engineer with expertise in Snowflake to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data...
Accolite-Montréal
Bounteous x Accolite makes the future faster for the world's most ambitious brands. Our services span Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. We are guided by Co-Innovation, our proven...
Mobiskill-Montréal
d'accompagner une start-up dans son évolution vers la scale-up.
Basés à Montréal ils cherchent aujourd'hui un data Engineer senior qui va mettre tout en place pour le futur de l'entreprise.
Les missions:
• Concevoir et mettre en œuvre des pipelines de données...
appcast.io -
Capgemini-Montréal
10 ans d'expérience avec les pipelines de données. Expérience dans la gestion d'une équipe de 5 à 8 développeurs juniors.
Solide expérience en programmation, idéalement en Java, Python ou Scala.
Expérience avec au moins un produit big data, tel que...
Techgene Solutions-Montréal
Position: Data Engineer (MONGODB and Kafka)
Location: Montreal, CA (Office attendance day 1 – Hybrid Mode, 3x per week)
Hybrid role: 3days days on site
Duration: Long Term
Role Profile:
• Development under agile methodologies,
• Candidates...
Desjardins-Montréal
As a data engineering advisor, you help develop solutions for collecting, integrating, consolidating, cleaning, storing, and transparently mining data. You assist dedicated clients with various development initiatives that involve scaling...
Confidential-Montréal
We are seeking a skilled Senior Data Engineer with a strong emphasis on leadership capabilities to join our DataOps team and play a key role in building and optimizing data pipelines on Google Cloud Platform. In this role, you will play a pivotal...
Montréal
/resources/equal-employment-opportunity-is-the-law.
Job Role: Data Engineer
Location: Montreal, ON Onsite
Job Type: Permanent Fulltime
Required skills:
• 10 years of experience with data pipelines Experience managing a team of 5 8 junior developers...
capgemini.com -
Frank Recruitment Group-Montréal
to clients, offering guidance on best practices and helping clients make informed decisions.
Design and build statements of work in collaboration with internal delivery teams (Data Engineers/ Architects).
Qualifications
8+ years of work experience designing...
Canadian National Railway-Montréal
and mentorship to new data designers
Lead the troubleshooting of data issues within the business and present solutions and recommendations
Collaborate with various stakeholders including Architecture, Data Engineers, Product Management, DBAs, Infrastructure...
Fed IT-Montréal
and implementation of all data management and analytics tools and systems.
• Manage a team of data and analytics professionals and their career planning/development, data ingestion, curation, visualization, BI, cubes, architects, data analysts and data engineering...
Canadian National Railway-Montréal
and mentorship to new data designers
Lead the troubleshooting of data issues within the business and present solutions and recommendations
Collaborate with various stakeholders including Architecture, Data Engineers, Product Management, DBAs, Infrastructure...
Canadian National Railway-Montréal
and mentorship to new data designers
Lead the troubleshooting of data issues within the business and present solutions and recommendations
Collaborate with various stakeholders including Architecture, Data Engineers, Product Management, DBAs, Infrastructure...
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