Data Jobs in Lorraine, QC
Create a job alert for this search
Data • lorraine qc
- Promoted
Data Lake Engineer
Randstad CanadaSaint-Eustache, Quebec, CA- Promoted
Marketing Data Analyst
Thorens Inc.Laval, Qc- Promoted
SAP Enterprise Data Architect
Calliere GroupLaval, Qc
Remote Data Administrator
FocusGroupPanelHinchinbrooke, Quebec, Canada
Senior Manager, Data Governance
DeloitteLaval, QC
Anglais Language Data Annotator (Canada, à distance)
TransPerfectLaval, QC, CA
Data Solution Architect
Meritek recrutement TILaval, QC, Canada- Promoted
- New!
Data Engineer
Randstad DigitalSaint-Eustache, QC, Canada
Data Visualization Lead
KPMGLLPBoisbriand, QC, United States- Promoted
Gestionnaire de produits / Product Data Manager
EvlvGreater Montreal Metropolitan Area, Canada
Data Entry Clerk - Early Morning
CB CanadaBlainville, Quebec, Canada
Data Management Coordinator (Bilingual)
StantecLaval, QC- Promoted
Data Entry Clerk (Remote)
ApexFocusGroupBlainville, QC, Canada
Data Reviewer
Groupe ParimaLaval, QC
Data Analyst
Sports ExpertsLaval, QC- Promoted
•Transactional Data Analyst (Procurement)
Recrute ActionLaval, Qc
Data integration Developer
FX INNOVATIONRemote, Quebec- Promoted
Metric Data Analyst - Cyber Security GRC background
Astra North Infoteck Inc.Laval, Qc
Data Collection Clerk – Casual Inventory for Eastern Region
Treasury Board of Canada SecretariatGaspé Peninsula / Îles-de-la-Madeleine, QuébecData Lake Engineer
Randstad CanadaSaint-Eustache, Quebec, CA- Temporary
- Quick Apply
Description : Data Lake Data Engineer
Data Ingestion : Collect and ingest data from various sources (structured / semi-structured / unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold)
Proficiency in Python, Spark, Microsoft Fabric / Databricks, Data Factory
Proficiency in Purview is desirable
Knowledge of relational databases (SQL Server, NoSQL)
Knowledge of data modeling practices, must follow data architecture
Knowledge of APIs and data integration
Knowledge of the data product concept
Start date : ASAP
In office days : Tuesday and Friday
Term of appointment : December 31, 2025
Conversion possible : Yes
Extension possible : Yes
Advantages
In office Tuesday and Fridays. Big project requiring expertise in Data Lake.
Responsibilities
Data Ingestion : Collect and ingest data from various sources (structured / semi-structured / unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold)
Proficiency in Python, Spark, Microsoft Fabric / Databricks, Data Factory
Proficiency in Purview is desirable
Knowledge of relational databases (SQL Server, NoSQL)
Knowledge of data modeling practices, must follow data architecture
Knowledge of APIs and data integration
Knowledge of the data product concept
Qualifications
Data Ingestion : Collect and ingest data from various sources (structured / semi-structured / unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold)
Proficiency in Python, Spark, Microsoft Fabric / Databricks, Data Factory
Proficiency in Purview is desirable
Knowledge of relational databases (SQL Server, NoSQL)
Knowledge of data modeling practices, must follow data architecture
Knowledge of APIs and data integration
Knowledge of the data product concept
Summary
Data Ingestion : Collect and ingest data from various sources (structured / semi-structured / unstructured) and ensure its cleansing, transformation, and preparation for effective use in Power BI. Must be able to work in a medallion data lake architecture (bronze, silver, gold)
Proficiency in Python, Spark, Microsoft Fabric / Databricks, Data Factory
Proficiency in Purview is desirable
Knowledge of relational databases (SQL Server, NoSQL)
Knowledge of data modeling practices, must follow data architecture
Knowledge of APIs and data integration
Knowledge of the data product concept
Start date : ASAP
In office days : Tuesday and Friday
Term of appointment : December 31, 2025
Conversion possible : Yes
Extension possible : Yes
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary / gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.