Remote - DBT Architect (Data Architect)

Los Angeles, CA Los Angeles CA 90001

Date : Oct-17-23

Remote - DBT Architect (Data Architect)

Los Angeles, CA

Oct-17-23

Work Authorization

US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

USD 85 / Hourly / C2C

Duration

:

Long Term

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Architect

Consulting / Contract

Direct Client Requirement

Remote Work from Home

Required Skills :

data architect, snowflake, dbt, DBT Architect, Data Build Tool, SQL, Snowflake environment

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect

Rate/Salary ($)

:

USD 85 / Hourly / C2C

Duration

:

Long Term

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Architect

Consulting / Contract

Direct Client Requirement

Remote Work from Home

Required Skills :

data architect, snowflake, dbt, DBT Architect, Data Build Tool, SQL, Snowflake environment

Preferred Skills :

Domain : IT/Software

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Intone Networks
Parlin, NJ
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Job Description :

Position: DBT Architect (Data Architect)
Client Alo Yoga
Location: Los Angeles, CA / Hybrid
Duration: Long Term

Job Description:

Experience of 10+years in Datawarehouse design and development with minimum of 4+years in DBT (Data Build Tool)
Design, implement and maintain data architecture solutions using dbt, Snowflake, and other relevant tools and technologies.
Develop data models, data dictionaries, and data flow diagrams.
Create and maintain data transformation pipelines using dbt
Advanced SQL, DBT and data modeling skills.
Work experience in designing and developing database, integrations using dbt in Snowflake environment.
Strong proficiency in data model, database table design and writing/reviewing complex SQL queries.
Familiar with the data warehouse architecture, best practices and the performance optimisation.
Collaborate with data engineering, data science, and business intelligence teams to ensure data quality and consistency.

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