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Data Engineer Gcp Data Engineer Jobs in California

Syntricate Technologies

GCP Data Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Syntricate Technologies is seeking a GCP Data Engineer to join their team. The role involves working with Stream and Batch Processing systems at scale, with a strong emphasis on GCP and its managed ...

Syntricate Technologies

GCP Data Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Syntricate Technologies is seeking a GCP Data Engineer to join their team. The role involves working with Stream and Batch Processing systems at scale, with a strong focus on Google Cloud Platform ...

Relanto

Lead Data Engineer - GCP

Fremont, CA · On-site

$120 - $150/hr

Support CI/CD and Infrastructure as Code implementations Required Skills * 6-9 years of experience in Data Engineering * Strong expertise in GCP data ecosystem and cloud-native architectures * Deep ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

Lead Data Engineer (GCP, Supply Chain & AI Data Platforms) Role Overview We are seeking an experienced and hands-on Lead Data Engineer to join our Enterprise Data & AI Organization. In this role, you ...

Jobtailor

Software Engineer, Data

Palo Alto, CA · On-site

$140 - $180/hr

* Design, develop, and maintain scalable data pipelines using GCP services such as Dataform, BigQuery ... Mentor junior engineers and provide constructive code review feedback * Contribute to technical ...

Kanak Elite Services Inc

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 ...

Redolent, Inc.

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 ...

AllSTEM Connections

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 ...

Pediatric Associates

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 ...

1 point system

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 ...

Solomon Page

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 ...

Pwc

Data Engineer - Senior Manager

Sacramento, CA

$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 ...

Pwc

Data Engineer - Senior Manager

Los Angeles, CA

$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 ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in California

Data Engineer Gcp Data Engineer information

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 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 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 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 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:

What cities in California are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in California with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer Gcp Data Engineer jobs near you

GCP Data Engineer

Mountain View, CA • On-site

Syntricate Technologies
IT Services • 51 - 200 employees
Learn more about Syntricate Technologiesexternal

$136K - $163K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a GCP Data Engineer to join their team. The role involves working with Stream and Batch Processing systems at scale, with a strong emphasis on GCP and its managed services.
Qualifications:
Required:
• 4+ years of professional experience in Stream/Batch Processing systems at scale.
• Strong Programming skills in Java, Python.
• Experience in Public Cloud is a must.
• Experience with GCP and GCP managed services is a strongly required.
• Experience in Messaging/Stream Processing systems on Cloud such as Pub/Sub, Kafka, Kinesis, DataFlow, Flink etc, and/Or
• Experience in Batch Processing systems such as Hadoop, Pig, Hive, Spark. Experience with Dataproc is a strong plus.
• Knowledge of DevOps principles and tools (e.g. CI/CD, IaC/Terraform).
• Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).
• Strong problem solving and critical thinking skills.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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