Google Cloud Platform Data Engineer

$145,600 - $162,240/Yr

Maxonic - Pleasanton, CA

Full-time - Entry Level

Hybrid - Pleasanton, CA

Professional, Scientific, and Technical Services

About the position

The Google Cloud Platform Data Engineer role at Maxonic involves designing and implementing data solutions using Google Cloud services. The position requires expertise in data warehousing, ETL processes, and programming languages to build efficient data pipelines. The role is hybrid, requiring candidates to work in the office two days a week, and is focused on supporting the data needs of the client through effective data management and analysis.

Responsibilities

• Design and implement data warehousing solutions using tools like BigQuery.
• Develop and manage ETL pipelines using Dataflow, Apache Beam, or Cloud Composer.
• Utilize programming languages such as Python, Java, or Scala for data manipulation tasks.
• Manage and optimize database systems including BigQuery, Google Cloud SQL, and Cloud Spanner.
• Design data models for efficient data storage and retrieval.
• Leverage Google Cloud services like Pub/Sub, Cloud Functions, and Data Catalog for metadata management.
• Create data visualizations using Data Studio.
• Implement version control and code deployment practices using Git and GitHub Actions.

Requirements

• Strong understanding of data warehousing concepts.
• Proficiency in designing and implementing ETL pipelines.
• Strong programming skills in Python, Java, or Scala.
• Knowledge of database management systems, particularly BigQuery and Google Cloud SQL.
• Ability to design and implement data models.
• Familiarity with Google Cloud Platform services.