Data Engineer, Application Ecosystem

Minimum qualifications:

• 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 and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
• 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts in SQL.
• 5 years of experience coding in one or more programming languages.
• Experience with data warehousing concepts and technologies, such as BigQuery.

Preferred qualifications:

• Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Math), or a related field.
• Experience with Google Cloud Platform (GCP) services, including Cloud Storage, and Data Catalog.
• Experience with data quality testing and validation frameworks.
• Experience with data visualization tools like Looker.
• Experience with Agile development methodologies.
• Understanding of data policies and implementation.

About the job

As a Data Engineer on the AppEco team, you will play a crucial role in our data-driven mission. You will be responsible for building and maintaining the data infrastructure and pipelines, business intelligence and decision-making. You will work closely with Product teams, data infrastructure partners, and business stakeholders to ensure data accessibility, accuracy, and alignment with our overall business strategy.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Define and implement data access policies for AppEco, ensuring data is accessible to authorized users while adhering to Google Cloud Platform (GCP) security and compliance standards.
• Design, build, and maintain robust data pipelines to process and transform various data sources into business metrics.
• Implement data validation and monitoring processes to ensure data accuracy and pipeline reliability and partner with business intelligence teams to provide access to curated data sets and support the development of dashboards and reports.
• Work with data infrastructure partners to ensure the availability and completeness of data sources required for AppEco's needs, and design and maintain a data architecture that promotes self-service data discovery and reuse within AppEco.
• Collaborate with Product teams to ensure comprehensive product instrumentation is in place to capture essential data for business intelligence and analysis.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.