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Cloud Snowflake Data Engineer
Cloud Snowflake Data EngineerJ&M Group • Montreal, Montreal (administrative region), CA
Cloud Snowflake Data Engineer

Cloud Snowflake Data Engineer

J&M Group • Montreal, Montreal (administrative region), CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

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  • Minimum of 7-10 years in a Data Warehouse Architecture and Development or data modeling role.
  • Proven experience with data warehousing solutions, ELT processes, and data integration techniques.
  • Expert level knowledge of SQL and experience with database management systems (e.g., Snowflake, Teradata, PostgreSQL, Sybase, DB2, etc.).
  • Proficiency in data modeling tools like Erwin, Power-Designer, or equivalent tools.
  • Familiarity with big data technologies and cloud services (AWS, Azure, Google Cloud).
  • Exceptional analytical and problem-solving capabilities.
  • Strong communication skills to articulate complex data concepts to non-technical stakeholders.
  • Ability to work in a collaborative, agile environment.

Job Description

Preferred Experience

  • Minimum of 7-10 years in a Data Warehouse Architecture and Development or data modeling role.
  • Proven experience with data warehousing solutions, ELT processes, and data integration techniques.
  • Expert level knowledge of SQL and experience with database management systems (e.g., Snowflake, Teradata, PostgreSQL, Sybase, DB2, etc.).
  • Proficiency in data modeling tools like Erwin, Power-Designer, or equivalent tools.
  • Familiarity with big data technologies and cloud services (AWS, Azure, Google Cloud).
  • Exceptional analytical and problem-solving capabilities.
  • Strong communication skills to articulate complex data concepts to non-technical stakeholders.
  • Ability to work in a collaborative, agile environment.
  • Key Responsibilities

    Data Architecture Design

  • Develop and implement comprehensive data architecture strategies that support the needs of our Data on Snowflake Cloud Architecture.
  • Design scalable data models that facilitate efficient data procurement, storage, processing, and analysis.
  • Data Modeling

  • Create logical and physical data models, that reflect business data consumption needs.
  • Ensure data models to support data mining, business intelligence, and analytics activities and AI tools.
  • Semantic models to facilitate self-service operations
  • Data Governance And Quality

  • Help establish and facilitate management of data definitions, standards, policies, and procedures.
  • Enhance data quality by setting up frameworks for data consistency, accuracy, and completeness.
  • Lead efforts in data cataloging for improved data discovery and understanding.
  • Collaboration

  • Work closely with data engineers, analysts, product owners, and other stakeholders to deliver data products that align with business objectives.
  • Facilitate cross-functional team efforts to ensure data architecture supports all aspects of the business.
  • Tool Utilization And Expertise

  • Utilize advanced data modeling tools to design and optimize data architectures.
  • Stay updated with the latest trends in data technology and methodologies applicable to asset management.
  • Familiarity with business intelligence tool set ecosystem, and strong experience with some.
  • Seniority level

    Seniority level

    Entry level

    Employment type

    Employment type

    Contract

    Job function

    Job function

    Information Technology

    Industries

    IT Services and IT Consulting

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