Data Analytics Engineer
Summary
Builds and maintains data pipelines on GCP, using SQL and BigQuery to extract and transform large datasets for analytics and reporting.
Responsibilities
- Create foundational pipelines and data extractions with large data sets using SQL and GCP technologies
- Work with large, complex data sets to solve analysis problems and assess initiative impact
- Collaborate with cross-functional partners to provide financial data engineering expertise
- Own complex projects, maintenance work, and bug fixes with minimal guidance
- Engineer foundational table resources using BigQuery, Dataform, LookML, and Dataplex
Requirements
- Bachelor's degree or equivalent practical experience
- 5 years of experience in analytics, data science, or computer science engineering
- 5 years of experience with SQL, data engineering, architecture, and ETL
- Expertise using Google Cloud Platform (GCP) tools
Preferred Qualifications
- Experience in HTML, Python, or other coding languages
- Experience using data to identify business improvement opportunities
- Strong written and verbal communication skills for stakeholder presentations
- Ability to engage with PMO teams for prioritization and effort estimation
About the Company
GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States.