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Data Engineer Gcp Data Engineer Jobs in California

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with ... Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS ...

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

Pleasanton, CA · On-site

$60 - $65/hr

We are seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI organization ... Design, develop, and implement scalable data pipelines and data products using GCP, Dataproc ...

Data Engineer

San Francisco, CA · On-site

$79K - $87K/yr

Senior Data Engineer (Cloud Data Platforms) Role Overview We are seeking a skilled and driven Data ... Utilizing modern Google Cloud Platform (GCP) technologies, you will transform enterprise data into ...

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 ...

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire ... Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices * Strong ...

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

Strong hands-on experience building enterprise data platforms on Google Cloud Platform (GCP ... Cloud Data Engineering * Git * CI/CD * Agile Methodologies Technical Skills: * Google Cloud ...

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

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

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

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

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

Data Engineer - Senior Manager

San Diego, CA · On-site

$124K - $280K/yr

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

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Strong hands-on experience with Google Cloud Platform (GCP). * Expert-level proficiency in ...

$64K - $173K/yr

Required Qualifications * 4+ years of experience working with SQL and relational database management systems * 2+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure ...

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Advanced knowledge of working with public clouds (e.g., AWS, GCP) Additional Job details The base ...

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Remote is fine but preferably hybrid data engineer with more than 4-5 yrs of exp Required qualifications - have exp with Python, PySpark, Scala, Spark, GCP, Airflow DAG, Hive, Data pipeline ...

Showing results 21-40

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?

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.
What are popular job titles related to Data Engineer Gcp Data Engineer jobs in California? For Data Engineer Gcp Data Engineer jobs in California, the most frequently searched job titles are:
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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Data Engineer (Python/pyspark/GCP/Airflow)

Redolent, Inc.

Sunnyvale, CA • On-site

$136K - $163K/yr

Contractor

Posted 29 days ago


Job description

We are actively looking for a Data Engineer In Sunnyvale CA or Remote
TITLE: Data Engineer
LOCATION: Sunnyvale CA or
Remote Duration: 6+ Months
Rate: DOE

Key skills - Apache Spark, Python, GCP, BigQuery, Dataflw, Airflow,
Description:
  • 7+ years of experience in Data engineering build, and maintain robust data pipelines using Apache Spark and Python.
  • Develop and manage workflow orchestration using Apache Airflow.
  • Implement scalable data solutions on Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, Dataflow, and Vertex AI. collaborate with data scientists to embed machine learning models into production-grade data pipelines. Ensure high performance, reliability, and scalability of data systems.
  • Monitor, troubleshoot, and optimize data workflows and ML model performance.
  • Maintain documentation and follow best practices for version control, testing, and deployment.

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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