Senior Data Engineer(Google Cloud Platform)

Remote • Posted 2 hours ago • Updated 2 hours ago
Full Time
Remote
$100,000 - $150,000/yr
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Data Engineering
  • Google Cloud Platform
  • GCP
  • ELT
  • Extract
  • Transform
  • Load
  • PySpark
  • Python
  • Airflow
  • Apache Hive
  • Apache Kafka
  • Apache Spark
  • ETL
  • Data Quality
  • Machine Learning (ML)
  • Continuous Improvement
  • Orchestration
  • Performance Tuning
  • Artificial Intelligence
  • Business Operations
  • Cloud Computing
  • Data Processing
  • Management
  • Reporting
  • Retail
  • Streaming
  • Workflow
  • Analytics

Summary

Job Role: Senior Data Engineer(Google Cloud Platform)

Location: Sunnyvale, CA 94089 /Remote

Job Description:

Must Have Technical/Functional Skills

  • Google Cloud Platform (Google Cloud Platform)
  • PySpark
  • Python
  • Airflow
  • Hive
  • Kafka

Data Pipeline Development, Enhancement & Maintenance

  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Automate data ingestion from multiple data sources.
  • Ensure reliable, high-performance, and scalable data movement.
  • Develop and optimize PySpark-based data processing frameworks.
  • Build and manage Airflow workflows and orchestration pipelines.
  • Work with Hive and Kafka-based batch and streaming data solutions.
  • Implement data quality, monitoring, governance, and operational controls.
  • Support production incidents, performance tuning, and continuous improvement initiatives

Roles & Responsibilities

  • The Data Engineer will be responsible for designing, building, governing, and optimizing data platforms, pipelines, and integrations to ensure secure, reliable, and scalable data availability for analytics, reporting, AI/ML, and business operations.

Preferred Experience

  • Strong Functional Knowledge in Retail (Search & Personalization) Added advantage.
  • Strong experience with large-scale Google Cloud Platform Data Engineering solutions.
  • Hands-on experience with Airflow DAG development and support
  • Experience building and optimizing Spark/PySpark data pipelines.
  • Exposure to Hive-based data processing and Kafka-driven ingestion frameworks.
  • Experience supporting analytics, personalization, recommendation, or search platforms is highly desirable
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: 10217521
  • Position Id: 9096646
  • Posted 2 hours ago
Contact the job poster
RB

Rajat Bhoyar

Recruiter @ Ztek Consulting
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

•

6d ago

Easy Apply

Full-time

Depends on Experience

Remote

•

17d ago

Easy Apply

Full-time

Depends on Experience

Remote or Minnetonka, Minnesota

•

Today

Full-time

USD 112,700.00 - 193,200.00 per year

Remote or Florida

•

Today

Full-time

USD 117,500.00 - 234,500.00 per year

Search all similar jobs