AMISEQ
Data SCE Cloud (GCP) Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data SCE Cloud Data Engineer specializing in BigQuery, requiring expertise in DBT and Spark. The contract length is "unknown," with a pay rate of "unknown," and is remote. Strong presentation and stakeholder management skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Engineering #GCP (Google Cloud Platform) #Cloud #Storage #BI (Business Intelligence) #dbt (data build tool) #BigQuery
Role description
The client is looking for a Data SCE Cloud Data Engineer with BigQuery.
Skills Required:
BigQuery expert, DBT.
Because the customer is currently porting over their entire data warehousing infrastructure and advanced analytics/Spark environments, we need expert assistance defining the comprehensive requirements, architecture, and design for both major platform systems.
We are looking for a candidate with a broad technical skill set, who also possesses the strong presentation and stakeholder management skills necessary to collaborate effectively with our principal engineering working group.
This role will focus heavily on all aspects of BigQuery, including storage management, BI Engine optimization, complex querying, and system administration.
The client is looking for a Data SCE Cloud Data Engineer with BigQuery.
Skills Required:
BigQuery expert, DBT.
Because the customer is currently porting over their entire data warehousing infrastructure and advanced analytics/Spark environments, we need expert assistance defining the comprehensive requirements, architecture, and design for both major platform systems.
We are looking for a candidate with a broad technical skill set, who also possesses the strong presentation and stakeholder management skills necessary to collaborate effectively with our principal engineering working group.
This role will focus heavily on all aspects of BigQuery, including storage management, BI Engine optimization, complex querying, and system administration.
