Data Engineer

October 19

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Description

• The Data Engineer will report to the Data Science Manager and interact frequently with stakeholders across the company. • Perform production-level automation of data collection procedures, including web scrapers. • Integrate multiple datasets in our cloud architecture. • Lead the implementation of a Data Governance framework for the whole company. • Develop scalable data pipelines preferably with Databricks. • Identify and implement improvements to infrastructure and to our data collection and processing methods.

Requirements

• Bachelor’s degree or equivalent in a relevant field (engineering, computer science, etc.) • Minimum 3 years of strong expertise in Microsoft Azure (preferably) or another cloud platform, including core services like compute, storage, and databases. • 3-6 years of experience in data engineering with a strong foundation in Python and SQL programming languages • Experience working within data governance frameworks, specially in the implementation of best practices for data quality assurance. • Experience consuming API and integrating the retrieved data with other data sets. • Experience integrating different sources into BI tools and providing business analysts with datasets for analytics. • Proficient in data modeling and database creation and designing • Strong problem-solving skills and a creative approach to overcoming technical challenges. • Excellent communication skills, capable of collaborating effectively with cross-functional and international teams

Benefits

• Competitive salary, health benefits, and vacation policy • Workspace improvement stipend • Work with a distributed, global team that has been remote-first since 2018