Data Engineer
hace 4 semanas
**What You’ll Do:
Taking project ideas from design to implementation.
Developing solutions that are highly scalable, but easy to maintain.
Contributing to the engineering team's culture of high code quality.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
**Requirements:
Excellent programming skills and fluency in Python.
Technical expertise with data models, data mining, and segmentation techniques
Hands-on experience with SQL database design.
Experience with DBT.
Experience in systems for schedule and monitor workflows like Airflow.
Committed to high engineering standards.
At least 3 years of experience developing solutions focused on business needs.
A proactive approach to spotting problems, areas for improvement, and performance bottlenecks.
Have an urge to collaborate and communicate asynchronously.
**Desirable:
Experience with machine learning workflows and architectures.
Be familiar with distributed computation tools (Hadoop, Spark, Presto, etc).
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