DPP Tech, Inc.
DPP Tech, Inc.

Google Cloud Platform Data Engineer

Hybrid in San Francisco, CA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
12 Months
75% Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Google Cloud Platform
  • GCP
  • BigQuery
  • Python
  • SQL
  • Dataflow
  • ETL
  • Data Engineering
  • Google Cloud Storage
  • Cloud Computing
  • Analytics
  • Access Control
  • Data Flow
  • Data Modeling
  • Data Processing
  • Continuous Delivery
  • Continuous Integration
  • Conflict Resolution
  • Cloud Storage
  • GCS
  • Extract, Transform, Load
  • Cloud Composer
  • Terraform
  • Workflow
  • Apache Airflow
  • PySpark
  • Data Warehousing
  • Pub/Sub
  • Performance Tuning
  • Problem Solving
  • Streaming
  • Technical Writing
  • Google Cloud
  • Information Security Governance
  • Data Validation
  • Data Quality
  • Collaboration

Summary

*Only W2 Profiles*

Location: San Francisco Bay Area, CA (Local Candidates Only)


We are seeking an experienced Google Cloud Platform Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data processing solutions using Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong experience in data engineering, ETL/ELT development, data warehousing, and cloud-based analytics solutions.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Google Cloud Platform.
  • Build and optimize data processing workflows using BigQuery, Dataflow, and Cloud Data Fusion.
  • Develop ETL/ELT pipelines to ingest, transform, and integrate data from multiple sources.
  • Work with Python and SQL to perform data transformations, data validation, and processing.
  • Implement data warehousing and data modeling solutions using BigQuery.
  • Orchestrate and schedule data pipelines using Cloud Composer (Apache Airflow) or similar tools.
  • Monitor pipeline performance, troubleshoot failures, and optimize processing costs.
  • Implement data quality, security, governance, and access control best practices.
  • Collaborate with data analysts, architects, developers, and business stakeholders.
  • Maintain technical documentation and follow data engineering best practices.

Required Skills

  • Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
  • Experience with BigQuery, Dataflow, and Cloud Storage (GCS).
  • Strong SQL and Python programming skills.
  • Experience building and maintaining ETL/ELT data pipelines.
  • Knowledge of data warehousing, data modeling, and database concepts.
  • Experience with workflow orchestration tools such as Cloud Composer or Apache Airflow.
  • Understanding of cloud security, IAM, monitoring, and performance optimization.
  • Excellent communication and problem-solving skills.

Preferred Qualifications

  • Experience with Pub/Sub, Dataproc, Dataform, or dbt.
  • Knowledge of Apache Spark, PySpark, and distributed data processing.
  • Experience with CI/CD, Git, Terraform, or infrastructure as code.
  • Familiarity with streaming and batch data processing architectures.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10110984
  • Position Id: 9112504
  • Posted 1 day ago
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Bob McLauchlan

Bob McLauchlan

Recruiter @ DPP Tech, Inc.

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