Scanta

Data Engineer

Job description

At Scanta, we rely on powerfully insightful data to inform our systems and solutions—and we’re seeking an experienced pipeline-centric data engineer to put it to use. Our ideal hire will have the mathematical and statistical expertise you’d expect, combined with a rare curiosity and creativity. You’ll wear many hats in this role, but your focus will be on building out our Python ETL processes and writing superb SQL. Beyond technical prowess, you’ll need the soft skills it takes to communicate highly complex data trends to organizational leaders in a way that’s easy to understand. We’re looking for someone willing to jump right in to help the company get the most out of our data.


Objectives of this Role

Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes

Help streamline our data science workflows, adding value to our product offering and building out our customer lifecycle and retention models

Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning

Be an advocate for best practices and continued learning.

                                                                          

Daily and Monthly Responsibilities

Work closely with our data science to help build complex algorithms that provide unique insights into our data

Use agile software development processes to make improvements to our back-end systems iteratively

Model front end and back end data sources to help draw a more comprehensive picture of user flows throughout our system and enable potent data analysis

Build data pipelines that clean, transform, and aggregate data from disparate sources

Develop models that can be used to make predictions and answer questions for the overall business


Required Skills and Qualifications


-Bachelor’s degree in computer science, information technology, engineering, or equivalent

-Experience with Python, SQL, and data visualization/exploration                                                          

-Experience with Text preprocessing techniques

-Communication skills, especially explaining technical concepts to non-technical business leaders

Comfort working in a dynamic, research-oriented team with concurrent projects


Preferred Qualifications

Bachelor’s degree in Computer Science, stats, applied math, or related discipline

Experience building or maintaining ETL processes

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