Data Engineer, Application Ecosystem
Job Summary
Job Description
- 5+ years experience designing data pipelines
- 5+ years experience with data infrastructure and SQL
- 5+ years coding experience
- Experience with data warehousing (BigQuery)
- Define and implement data access policies
- Master's degree in quantitative discipline
- GCP experience (Cloud Storage, Data Catalog)
- Data quality testing and validation
- Data visualization tools (Looker)
- Agile development methodologies
10 skills required
Job Details
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.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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