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Snowflake with Data warehousing Engineer at Snowflake, Arizona, USA

Email: [email protected]

Snowflake with Data warehousing Engineer

Boise, ID

Build
and maintain data models and data/solution pipelines to cater to
analytical applicationsWork in a technical team through development,
deployment, and application of applied, predictive and prescriptive
analytics using data engineering, machine learning engineering and
artificial intelligence.

Design
and optimize data structures in data management systems (Snowflake, GCP,
HANA) to enable reporting analytics using Tableau/Power BI as well as
AI/ML solutions.

Determine
transformation requirements and develop processes to bring structured and
unstructured data from the source to a new physical Data Model

Technical
Degree required. B.S or M.S in Computer Science, Business Analytics,
Engineering

Understanding
of Data Engineering/processing, Business Intelligence and Advanced
analytics using Teamcenter dataThorough

understanding
of the back-end models for strong working knowledge of databases
(Snowflake, MS-SQL, SAP HANA) building scalable ETL pipelines with data
processing and/or developing applications and data sources.

Experience
with the back-end data structures, tables, relationships, E-R relationship
of Teamcenter and translating them to data warehouse constructs.

Ability
to define & build hierarchical relationships of Product Lifecycle
Management like BOM, etc. in data warehouse like Snowflake.

Communicate
effectively with stakeholders regarding all facets of data warehousing
solutions pertaining to PLM Teamcenter.

Ability
to architect & develop solutions pertaining to attributes,
relationships for master data including slowly changing dimensions.

Ability
to architect & develop data-warehousing solutions for extended Product
Lifecycle Management encompassing production cycle definitions of
products, equipment, facilities, etc.

Familiarity
with the integration of Teamcenter & SAP as related to data
warehousing solutions.

Various
phases of Unit, Integration & User Acceptance testing

Familiarity
with software architecture (data structures, data schemas, etc.)Software
development skills and knowledge in Cloud based data engineering.CI/CD
pipelines including ADO repos

Experience
with various frameworks and processes, such as Agile (Scrum, Kanban,
etc.)Outstanding analytical thinking, interpersonal, oral, and written
communication skills. Proficiency in the Microsoft Office suite Ability to
prioritize and meet critical project timelines in a fast-paced
environment.

Self-motivated
and team-oriented

--

Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence rlang information technology microsoft Idaho
Snowflake with Data warehousing Engineer
[email protected]

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Wed Nov 06 20:14:00 UTC 2024

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gurnavstaffing@gmail.com wrote:
Snowflake with Data warehousing Engineer

Boise, ID

Build
     and maintain data models and data/solution pipelines to cater to
     analytical applicationsWork in a technical team through development,
     deployment, and application of applied, predictive and prescriptive
     analytics using data engineering, machine learning engineering and
     artificial intelligence.

Design
     and optimize data structures in data management systems (Snowflake, GCP,
     HANA) to enable reporting analytics using Tableau/Power BI as well as
     AI/ML solutions.

Determine
     transformation requirements and develop processes to bring structured and
     unstructured data from the source to a new physical Data Model

Technical
     Degree required. B.S or M.S in Computer Science, Business Analytics,
     Engineering

Understanding
     of Data Engineering/processing, Business Intelligence and Advanced
     analytics using Teamcenter dataThorough

understanding
     of the back-end models for strong working knowledge of databases
     (Snowflake, MS-SQL, SAP HANA) building scalable ETL pipelines with data
     processing and/or developing applications and data sources.

Experience
     with the back-end data structures, tables, relationships, E-R relationship
     of Teamcenter and translating them to data warehouse constructs.

Ability
     to define & build hierarchical relationships of Product Lifecycle
     Management like BOM, etc. in data warehouse like Snowflake.

Communicate
     effectively with stakeholders regarding all facets of data warehousing
     solutions pertaining to PLM Teamcenter.

Ability
     to architect & develop solutions pertaining to attributes,
     relationships for master data including slowly changing dimensions.

Ability
     to architect & develop data-warehousing solutions for extended Product
     Lifecycle Management encompassing production cycle definitions of
     products, equipment, facilities, etc.

Familiarity
     with the integration of Teamcenter & SAP as related to data
     warehousing solutions.

Various
     phases of Unit, Integration & User Acceptance testing

Familiarity
     with software architecture (data structures, data schemas, etc.)Software
     development skills and knowledge in Cloud based data engineering.CI/CD
     pipelines including ADO repos

Experience
     with various frameworks and processes, such as Agile (Scrum, Kanban,
     etc.)Outstanding analytical thinking, interpersonal, oral, and written
     communication skills. Proficiency in the Microsoft Office suite Ability to
     prioritize and meet critical project timelines in a fast-paced
     environment.

Self-motivated
     and team-oriented

Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence rlang information technology microsoft Idaho 
Snowflake with Data warehousing Engineer
gurnavstaffing@gmail.com

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