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Data engineer Jobs in Candiac, QC

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Data engineer • candiac qc

Last updated: 1 day ago

Senior Data Engineer

Alltech Consulting ServicesMontreal Quebec, Canada
Full-time

Experience Level: Level 4 (advanced): 7-10 years.The Corporate Workspace Technology area is currently hiring for the role of Senior Data Engineer for the modernization of tooling enablement functio... Show more

Kafka Data Engineer

Alltech Consulting ServicesMontreal Quebec, Canada
Full-time

Position is for a role in TEDRA department.TEDRA is part of the Institutional Securities Technology (IST) Division.It is responsible for maintaining, distributing, and revenue, risk, and reference ... Show more

Principal Machine Learning Engineer, General AI, ML & Big Data

C-ServMontreal, QC, CA
Full-time
Quick Apply

We are working with a global networking leader driving a fundamental shift in how businesses manage networks.There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge ... Show more

Senior Data Engineer

LancesoftMontreal, QC, CA
Full-time
Quick Apply

Experience Level: Level 4 (advanced): 7-15 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 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

Team lead, Data Engineer / Chef.fe d'équipe Ingénieur.e de données (EH)

TOTEM Recruteur de talentMontréal, QC, CA
Permanent

Horaire : 37,5 heures/semaine – modèle hybride.Notre client, une entreprise multiculturelle et collaborative et acteur reconnu dans le développement de solutions logicielles intuitives et fiables r... Show more

Technicien de Centre de Données / Data Center Technician, Data Center Operations, Data Center

Amazon Web Services Canada, Inc.Montreal, Quebec, CAN
Full-time

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

Senior Data Engineer

CAEMontreal
Full-time

Our engineers are the technical visionaries driving our innovative solutions.Renowned globally for designing, integrating, and deliveringstate-of-the-artsimulation and training systems,you’lltackle... 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

Sr. Full Stack Data Science Engineer

The Toronto-Dominion Bank (Canada)Montréal, Québec
Full-time

Join a high-impact analytics team that shapes business decisions through data, insights, and AI/ML.Collaborate with business leaders and cross-functional teams to uncover opportunities, build scala... Show more

Data Engineer (Team Lead)

AperteraMontreal, QC, CA
Full-time
Quick Apply

About Apertera Apertera is leading the evolution of language solutions for high-stakes content.We partner with enterprises as an extension of their teams, combining professional expertise with Adap... Show more

Data Scientist

Valnet Inc.Montreal, QC, CA
Full-time
Quick Apply

Data Scientist  Location: Onsite - Montreal   Who we are: Valnet looking for a Data Scientist to join our Tech team.In this role, you will design and deploy AI systems that improve how a ... Show more

Data Integration Specialist

CroesusMontréal, Agglomération de Montréal, Canada
Full-time

Croesus provides innovative, high-performance, and secure wealth management solutions that include portfolio management systems, portfolio rebalancing tools, and application programming interfaces ... Show more

Data Engineer Intermediate

CGIMontréal, Canada
Permanent

CGI is looking for an Intermediate Data Engineer to join a strategic team supporting Investment and Corporate Banking activities within Global Banking Technology & Operations (GBTO) in Canada.You w... 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... Show more

Data Engineer – Spark / Databricks / Snowflake (BFSI) - DESDSAS

NavitasPartnersMontréal, Quebec, Canada
Full-time

Data Engineer – Spark, Databricks & Snowflake (BFSI).We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data sol... Show more

Data Scientist II

Intact Financial CorporationMontréal, Quebec, CAN
CA$94,200.00 yearly
Full-time

Pay at Intact is about much more than just salary.Multiple benefits offered to support.Wellness account and much more.Share plan & other savings: up to.Employee Share Purchase Plan (ESPP) – with In... Show more

Senior Data Engineer

Senior Data Engineer

Alltech Consulting ServicesMontreal Quebec, Canada
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

Experience Level: Level 4 (advanced): 7-10 years

JOB DESCRIPTION:
The Corporate Workspace Technology area is currently hiring for the role of Senior Data Engineer for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modelling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APIs. The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically.

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.
• Development of Semantic Model in Snowflake and PowerBI is a plus SKILLS / QUALIFICATIONS:
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred)
• 7-10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.
• Snowflake REST API experience
• Informatica ETL and Talend ETL experience.
• Efficient SQL 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