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Google Cloud Platform Data Engineer

Salary undisclosed

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Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Google Cloud Platform Data Engineer

Job Description:

Job Title: Data Engineer

Job Location: Pleasanton, CA( candidates need to be located in Bay Area )

Work Schedule: Hybrid, 2 days in office

Pay rate/salary: $70-78/hr C2C, $55-64/hr W2


Mode of interview: In person

Responsibilities:

Data Warehousing

  • Understanding of data warehousing concepts
  • Experience with tools like BigQuery for storing and querying large datasets.

ETL (Extract, Transform, Load)

  • Proficiency in designing and implementing ETL pipelines using tools like
  • Dataflow
  • Apache Beam or Cloud Composer

Programming Languages

  • Strong programming skills in languages such as Python, Java, or Scala for building data pipelines and performing data manipulation tasks.

Database Management

  • Knowledge of database systems, particularly BIg Query, Google Cloud SQL, Cloud Spanner

Data Modeling

  • Ability to design and implement data models for efficient storage and retrieval of data

Google Cloud Services

  • Google Cloud Platform services such as Pub/Sub for messaging, Cloud functions etc
  • Data Catalog for metadata management
  • Data Studio for data visualization

Version Control and Code deployment

  • Familiarity with version control systems like Git for managing code
  • GitHub Actions

About Maxonic:

Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.

Interested in Applying?

Please apply with your most current resume. Feel free to contact () for more details.

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.
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