Data Engineer, Application Ecosystem

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · Cloud

Description For Data Engineer, Application Ecosystem

Google Cloud's App Ecosystem (AppEco) team is seeking a Data Engineer to join their mission of empowering customers to build secure and reliable applications. As a Data Engineer, you'll be instrumental in building and maintaining data infrastructure and pipelines that drive business intelligence and decision-making. The role involves close collaboration with Product teams, data infrastructure partners, and business stakeholders to ensure data accessibility and accuracy.

The position requires strong expertise in data pipeline design, dimensional data modeling, and SQL, with experience in data warehousing technologies like BigQuery. You'll be working with Google Cloud Platform services and implementing data validation frameworks to maintain data quality and reliability.

This is an exciting opportunity to join Google Cloud, a trusted partner serving customers in over 200 countries, where you'll contribute to the development of enterprise-grade solutions and help shape the future of cloud technology. The role offers the chance to work with cutting-edge technology while ensuring data-driven decision making across the organization.

You'll be part of a team dedicated to creating positive, measurable outcomes for customers and Google, while working in an inclusive environment that values diversity and equal opportunity. The position requires strong technical skills combined with collaborative abilities to work effectively with various stakeholders across the organization.

Last updated 14 hours ago

Responsibilities For Data Engineer, Application Ecosystem

  • Define and implement data access policies for AppEco, ensuring data is accessible while adhering to GCP security standards
  • Design, build, and maintain robust and scalable data pipelines
  • Implement data validation and monitoring processes
  • Work with data infrastructure partners to ensure data source availability
  • Collaborate with Product teams to ensure comprehensive product instrumentation

Requirements For Data Engineer, Application Ecosystem

  • Bachelor's degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math), or equivalent practical experience
  • 5 years of experience designing data pipelines, and dimensional data modeling for synchronous and asynchronous system integration
  • 5 years of experience working with data infrastructure and data models using SQL
  • 5 years of experience coding in one or more programming languages
  • Experience with data warehousing concepts and technologies, such as BigQuery

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