Cloud Data Engineer

Master-Works is an innovative company focused on delivering exceptional cloud-based data solutions for clients.
Cloud
Mid-Level Software Engineer
In-Person
AI · Enterprise SaaS
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Description For Cloud Data Engineer

Master-Works is seeking a talented Cloud Data Engineer to join their innovative team. As a Cloud Data Engineer, you will be responsible for designing, building, and managing robust cloud-based data platforms that support clients' analytics and data-driven decision-making processes.

Responsibilities:

  • Design, develop, and maintain data pipelines and data lakes on GCP.
  • Extract, transform, and load (ETL) data from various sources into GCP data warehouses and data lakes.
  • Optimize data processing performance and scalability.
  • Collaborate with data scientists and analysts to ensure data quality and integrity.

Requirements:

  • Design, develop, and maintain data pipelines and data lakes on GCP.
  • Extract, transform, and load (ETL) data from various sources into GCP data warehouses and data lakes.
  • Optimize data processing performance and scalability.
  • Collaborate with data scientists and analysts to ensure data quality and integrity.

If you are passionate about leveraging cloud technology to drive data innovation and solve complex challenges, join Master-Works as a Cloud Data Engineer and be part of a forward-thinking team focused on delivering exceptional solutions for our clients.

Last updated 4 months ago

Responsibilities For Cloud Data Engineer

  • Design, develop, and maintain data pipelines and data lakes on GCP
  • Extract, transform, and load (ETL) data from various sources into GCP data warehouses and data lakes
  • Optimize data processing performance and scalability
  • Collaborate with data scientists and analysts to ensure data quality and integrity

Requirements For Cloud Data Engineer

  • Design, develop, and maintain data pipelines and data lakes on GCP
  • Extract, transform, and load (ETL) data from various sources into GCP data warehouses and data lakes
  • Optimize data processing performance and scalability
  • Collaborate with data scientists and analysts to ensure data quality and integrity

Interested in this job?