Senior Data Engineer

Senior Data Engineer corporate_fare Google place Mountain View, CA, USA ; Zürich, Switzerland bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline

X Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Mountain View, CA, USA; Zürich, Switzerland .

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). 5 years of experience coding in one or more programming languages. 5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms. 3 years of experience developing project plans and delivering projects on time within budget and scope. 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers. Experience with Machine Learning for production workflows. About the job Responsibilities Identify the underlying need, process datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed. Design, build, and scale innovative data products, including self-serve tools, and automated pipelines. Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliability monitoring. Operate with a high degree of autonomy, owning data engineering projects from initial conception to landing and impact. Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication.