Senior Data Engineer

3 hours ago

San Francisco, California, United States Plato Systems Full time
Transforming Manufacturing Operations with Data

At Plato Systems, we're revolutionizing the way manufacturers approach operations by harnessing the power of spatial activity data and AI. As a Solution Engineer, you'll play a critical role in helping our clients unlock new levels of capacity, productivity, and safety.

Our intelligent analytics platform, fueled by our innovative device, provides an operations digital twin that combines factory operator activity with machine data for the first time. With a strong team from industry and academia, we're backed by NEA and poised for growth.

As a key member of our team, you'll work collaboratively with different teams to transform data generated by our fleet of edge devices into data products that are consumable by our end customers. You'll need to have a strong foundation in software development, business acumen, autonomy, and great communication skills.

Key Responsibilities:

Understand customers' existing digital operations data and how they would integrate into Plato's data fusion platform

Tailor Plato applications to meet specific customer needs

Perform exploratory data analysis and data science, generate and discover actionable insights from Plato's unique spatio-temporal data, conduct hypothesis testing, and utilize statistical methods to assess their validity

Understand the context of the KPIs & customers' business needs in order to help create products or experiences that address customer pain points

Tell compelling stories that use the data - and data visualization - to compel the audience with the power of the insight

Work in a data-driven environment, drive process improvement, and work with the stakeholders to translate high-level business goals to working software solutions and customer-facing outputs

Requirements:

BS, MS, or PhD in an engineering/quantitative field, such as computer science, electrical engineering, mechanical engineering, pure or applied sciences (math, physics, ...), etc.

3+ years combined as a solution engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company

Proficiency in Python (numpy, scipy, pandas, matplotlib and plotly) and OOP programming

End-to-end experience with data, including databases, querying, aggregation, analysis, and visualization

Familiarity with networking, & Linux environment

Able to work from our San Francisco office at least three days/week

A proactive problem solver who can collaborate with internal and external partners and communicate effectively with diverse audiences including engineering teams, customers, and contractors

Strong analytical skills, with the ability to analyze data to identify issues and measure success

Willingness to travel ~3 days per month

Valid passport or ability to obtain one

Ability to understand large data sets and use appropriate technologies and methodology to manipulate data (e.g. SQL, R, Python, ETL pipelines)

Prior experience with modern data technologies stack such as Databricks, Airflow, etc.

Phenomenal data visualization and analysis skills with expertise in tools such as Looker, Tableau, Power BI, Seaborne, etc.

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