Cloud Snowflake Data Engineer

Aarorn Technologies Inc; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

Aarorn Technologies Inc is seeking a Cloud Snowflake Data Engineer with a strong background in Data Warehouse Architecture and Development. The successful candidate will develop and implement data architecture strategies and create scalable data models on Snowflake. This mid-senior level contract position allows you to showcase your expertise in SQL, data integration, and modeling tools while collaborating in an agile environment. If you possess exceptional analytical skills and can communicate complex data concepts to stakeholders, this role is ideal for you.

Qualifications

• 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.
• Exceptional analytical and problem-solving capabilities.
• Strong communication skills to articulate complex data concepts to non-technical stakeholders.

Responsibilities

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

Skills

SQL

Data Warehousing Solutions

Data Modeling

Cloud Services (AWS, Azure, Google Cloud)

Data Integration Techniques

Analytical Skills

Communication Skills

Tools

Erwin

Power-Designer

Job description

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Job Title : Cloud Snowflake Data Engineer

Location : Montreal, QC (3x Onsite a week)

Interview Type : Face 2 Face (Onsite Interview Only)

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

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 support data mining, business intelligence, analytics activities, and AI tools.

Develop 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.

Work closely with data engineers, analysts, product owners, and other stakeholders to deliver data products aligned 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 toolsets and strong experience with some.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology
• IT Services and IT Consulting

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