Fully remote

Data Engineer

Any Candidate living in Mexico, Central or South America can apply.

In this Data Engineer role, you will contribute to strategic data engineering solutions moving data from raw to cold storage, through ETL (Extract, Transform, Load) pipelines, to data sets used to train ML (Machine Learning) models. You will not accept the status quo and be an agent of positive change. You will collaborate with our Data Science, Business Analysts, and Machine Learning Engineers towards improved data products for the customer and facilitate discovery through democratization of our data.

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Core qualifications:

BA/BS degree in a technical/quantitative field, 5+ years of experience working in Data Engineering.
Proven SQL and Python skills.
Ability to work independently, solve problems, and learn quickly as part of a larger agile team
Experience delivering and articulating data models to support enterprise and data product needs; including, physical, logical, and conceptual modeling.
Experience in the design, monitoring, and delivery of Data Pipelines/ETL, Relational and Non-Relational Databases, Data Warehousing, Data Lake, Business Intelligence Platforms
Able to demonstrate coding practice (comments, style, consistency, efficiency, reuse, etc.) and have experience applying them in code reviews.
Must have experience with managed services in AWS, Azure or GCP (Google Cloud Platform)
Must have experience validating data quality, preferably with test automation (pytest, DBT, etc.)
Must have experience authoring stories and bugs independently and in team grooming sessions.
English Fluency Required

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