Data Analytics Engineer

Google LLC
Mountain View, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 155K

Job location

Mountain View, United States of America

Tech stack

HTML
Data analysis
Big Data
Google BigQuery
Computer Engineering
Information Engineering
Data Files
ETL
Database Queries
Python
SQL Databases
SAP Application Management Services
Google Cloud Platform
Data Analytics
Data Pipelines
Programming Languages

Job description

As a Data Analytics Engineer for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metric rules and logic, deliver useful tables and reports, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad financial and ERP data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making., * Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management.

  • Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create on-going tooling/resources to run the business.
  • Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed to become the single point of contact for all financial data engineering questions.
  • Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in analytics, data science, and/or computer science engineering.
  • 5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).
  • Expertise using GCP tools.

It's preferred if you have:

  • Experience in HTML, Python, or other coding languages.
  • Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives.
  • Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership.
  • Ability to engage with PMO teams to prioritize, provide level of effort estimations, manage bug queues and bandwidth.

Benefits & conditions

The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

About the company

At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we're growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong. GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet., GFiber's mission is to deliver abundant internet on networks that are always fast and always open with products that are easy to understand and clearly priced. We believe customers deserve a better internet experience and everything we do is focused on providing just that. On our team, you'll work in an environment that's redefining the status quo in the Internet industry. Within the Data Community team, you'll do everything from data engineering, scripting, visuals, insights, data science, and more.

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