Data Engineer, gTech Analytics, Platforms and Tools
Gurgaon, Haryana, India; Hyderabad, Telangana, India
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in one or more object oriented programming languages (e.g., Java, C++, or Python, etc.).
- 2 years of experience designing data models, data warehouses, and using SQL and NoSQL database management systems, along with data processing using traditional and distributed systems.
Preferred qualifications:
- 2 years of experience managing projects and working with analytics, software coding, or customer-side web technologies.
- Experience and knowledge of the software development cycle.
- Experience designing data warehouses for business performance management.
- Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources.
- Excellent communication, organizational, and analytical skills.
About the job
gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
In this role, you will be part of a team that works to ensure users have access to aligned, accurate, and useful business metrics and dimensions, that support their operations. In understanding the user needs, the team partners directly with operations, analytics, as well as central strategy teams to align and define operations data concepts. To deliver reporting, the team partners with the Customer Engineering (CE) and Tools Development and Automation (TDA) organizations.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
- Manage business processes, tools, and customer expectations to drive impact.
- Design, implement, test, and troubleshoot analytics and reporting solutions to solve business performance management challenges.
- Collaborate with and influence business and engineering stakeholders to ensure data infrastructure and products meets the evolving requirements.
- Work with analysts to productionize analytics and reporting prototypes, and various statistical and machine learning models.
- Write and review technical documents, including design, requirements, and process documentation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Distributed Systems Engineering ETL Java Machine Learning ML models NoSQL Python SQL Statistics
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