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Data Engineer Gcp Data Engineer Jobs in California

... Platform (GCP). * Work hands-on with BigQuery for data warehousing and analytics use cases ... Must be a hands-on developer (no pure coordination roles). Founded in 2010 and headquartered in the ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Job Title: Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ... Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as ...

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

... GCP), especially data services (e.g., S3, ADLS, BigQuery) • Familiarity with CI/CD pipelines ... Data Engineer Associate/Professional, Machine Learning, etc.) Feel free to reach out yashmita ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP ...

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Data Engineer Gcp Data Engineer information

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are some common challenges faced by Data Engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What are the key skills and qualifications needed to thrive as a GCP Data Engineer, and why are they important?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What is a GCP Data Engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.
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What job categories do people searching Data Engineer Gcp Data Engineer jobs in California look for? The top searched job categories for Data Engineer Gcp Data Engineer jobs in California are:
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GCP data engineer

TestingXperts Inc. DBA Damcosoft

Pleasanton, CA • On-site

$127K - $153K/yr

Contractor

Posted 12 days ago


Job description

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website www.testingxperts.com.

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Job Title:

Senior GCP Data Engineer

Hiring Mode:

Contract -TP

Location:

Pleasanton, CA [Onsite]

 
Job Description:
We are looking for an experienced Senior GCP Engineer who is a hands-on developer with deep expertise in Google Cloud Platform and modern data engineering practices. The role requires working onsite from Pleasanton and contributing to the design, development, deployment, and optimization of cloud-based data solutions.
Key Responsibilities-

  • Design, develop, and maintain scalable solutions on Google Cloud Platform (GCP)
  • Work hands-on with BigQuery for data warehousing and analytics use cases
  • Develop and manage relational workloads using AlloyDB
  • Build and maintain data transformation pipelines using DBT
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Implement infrastructure as code using Terraform
  • Design, implement, and maintain CI/CD pipelines for data and cloud workloads
  • Write efficient SQL queries for data modelling, transformation, and reporting
  • Follow modern development practices including vibe coding and clean code standards
  • Collaborate with cross-functional teams to deliver high-quality cloud solutions
  • Ensure performance, security, scalability, and reliability of GCP solutions

Mandatory Technical Skills-

  • Strong foundation experience in Google Cloud Platform (GCP)
  • Advanced SQL skills
  • Hands-on experience with BigQuery
  • Experience working with AlloyDB
  • Strong experience in DBT
  • Workflow orchestration using Composer (Airflow)
  • Infrastructure automation using Terraform
  • Experience building and managing CI/CD pipelines
  • Exposure to vibe coding and modern development practices

Additional Requirements-

  • Must be a hands-on developer (no pure coordination roles)
  • Strong problem-solving and debugging skills
  • Excellent communication and collaboration abilities