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Urgent Hiring For Google Data Engineer::Onsite H1B at Napa, California, USA

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2335650&uid=

From:

Swaraj Tiwari,

Teamware Solutions

[email protected]

Reply to: [email protected]

**Job Title:** Google Data Engineer
**Location:** Napa, CA

**Job Summary:**
[Company Name] is seeking a skilled and passionate Google Data Engineer to join our growing data team in Napa, CA. You will be responsible for designing, building, and maintaining our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong understanding of data warehousing principles, ETL/ELT processes, and experience with Google's suite of data services. You will play a crucial role in enabling data-driven decision-making across the organization.
**Responsibilities:**
* Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP) using services like BigQuery, Dataflow, Cloud Composer (Airflow), and Pub/Sub.
* Develop and implement ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse (BigQuery).
* Build and optimize data models in BigQuery for efficient querying and analysis.
* Implement data quality checks and monitoring to ensure data accuracy and integrity.
* Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions.
* Monitor and optimize the performance and cost of our GCP data infrastructure.
* Implement and maintain data security and governance policies on GCP.
* Automate data engineering tasks using scripting languages (e.g., Python) and infrastructure-as-code tools (e.g., Terraform).
* Troubleshoot and resolve data pipeline and data quality issues.
* Stay up-to-date with the latest Google Cloud data services and best practices.
* Document data pipelines, data models, and data engineering processes.
**Qualifications:**
* Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
* [Number] years of professional experience as a Data Engineer.
* Strong understanding of data warehousing concepts, including dimensional modeling.
* Hands-on experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Storage).
* Proficiency in SQL and experience querying large datasets in BigQuery.
* Experience with at least one scripting language (Python preferred) for data manipulation and automation.
* Understanding of ETL/ELT principles and best practices.
* Strong problem-solving and analytical skills.
* Good communication and collaboration skills.
**Preferred Qualifications:**
* Google Cloud Certified - Professional Data Engineer certification.
* Experience with other GCP services (e.g., Cloud Functions, Data Fusion).
* Experience with stream processing technologies.
* Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI).
* Experience with infrastructure-as-code tools (e.g., Terraform).
* Knowledge of data governance and security best practices on GCP.
* Experience in [mention specific industry relevant to Napa, CA, such as Wine & Beverage, Tourism, or related technologies].
**Benefits:**

Keywords: business intelligence California
Urgent Hiring For Google Data Engineer::Onsite H1B
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2335650&uid=

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06:45 PM 11-Apr-25

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swaraj.t@twsol.com wrote:
From:

Swaraj Tiwari,

Teamware Solutions

swaraj.t@twsol.com

Reply to:   swaraj.t@twsol.com

**Job Title:** Google Data Engineer
**Location:** Napa, CA

**Job Summary:**
[Company Name] is seeking a skilled and passionate Google Data Engineer to join our growing data team in Napa, CA. You will be responsible for designing, building, and maintaining our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong understanding of data warehousing principles, ETL/ELT processes, and experience with Google's suite of data services. You will play a crucial role in enabling data-driven decision-making across the organization.
**Responsibilities:**
* Design, build, and maintain scalable and reliable data pipelines on Google Cloud Platform (GCP) using services like BigQuery, Dataflow, Cloud Composer (Airflow), and Pub/Sub.
* Develop and implement ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse (BigQuery).
* Build and optimize data models in BigQuery for efficient querying and analysis.
* Implement data quality checks and monitoring to ensure data accuracy and integrity.
* Collaborate with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions.
* Monitor and optimize the performance and cost of our GCP data infrastructure.
* Implement and maintain data security and governance policies on GCP.
* Automate data engineering tasks using scripting languages (e.g., Python) and infrastructure-as-code tools (e.g., Terraform).
* Troubleshoot and resolve data pipeline and data quality issues.
* Stay up-to-date with the latest Google Cloud data services and best practices.
* Document data pipelines, data models, and data engineering processes.
**Qualifications:**
* Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
* [Number] years of professional experience as a Data Engineer.
* Strong understanding of data warehousing concepts, including dimensional modeling.
* Hands-on experience with Google Cloud Platform (GCP) data services (BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Storage).
* Proficiency in SQL and experience querying large datasets in BigQuery.
* Experience with at least one scripting language (Python preferred) for data manipulation and automation.
* Understanding of ETL/ELT principles and best practices.
* Strong problem-solving and analytical skills.
* Good communication and collaboration skills.
**Preferred Qualifications:**
* Google Cloud Certified - Professional Data Engineer certification.
* Experience with other GCP services (e.g., Cloud Functions, Data Fusion).
* Experience with stream processing technologies.
* Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI).
* Experience with infrastructure-as-code tools (e.g., Terraform).
* Knowledge of data governance and security best practices on GCP.
* Experience in [mention specific industry relevant to Napa, CA, such as Wine & Beverage, Tourism, or related technologies].
**Benefits:**

Keywords: business intelligence California 
Urgent Hiring For Google Data Engineer::Onsite H1B
swaraj.t@twsol.com

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Location: Napa, California