Join to apply for the Cloud Snowflake Data Engineer role at J&M Group
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Join to apply for the Cloud Snowflake Data Engineer role at J&M Group
- 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 operationsData 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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