Data Science Engineer

Data Science Engineer
Empresa:

Andela


Lugar:

Brasil


Função de trabalho:

Tecnologia da informação

Detalhes da Vaga

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.At Andela, we're deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We're excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you'll have access to a multitude of exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace!Our roles are typically filled at lightning speed, so if you're considering applying, get your application in quickly!This is a fully remote opportunity for one of our esteemed clients.About the role:Data Science EngineerResponsibilitiesCurate, design and catalogue high quality data models to ensure that data is accessible and reliableBuild highly scalable data processing frameworks for use across a wide range of datasets and applicationsProvide data-driven insight and decision-making critical to GS's business processes, in order to expose data in a scalable and effective mannerUnderstanding existing and potential data sets in both an engineering and business contextDeploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficienciesEvaluate, select and acquire new internal & external data sets that contribute to business decision makingEngineer streaming data processing pipelinesDrive adoption of Cloud technology for data processing and warehousingEngage with data consumers and producers in order to design appropriate models to suit all needsRequired skills:5+ years of overall experience4+ years of experience working as a Data Scientist/Data Science Engineer.4+ years of AWS experience4+ years of experience using Python4+ years of experience using SQL4+ years of experience using TerraformExperience in data warehousing as well as building ETL pipelinesNice-to-have skills:StreamlitLocation: 100% remoteTimezone: UTC-4At Andela, we outcompete through diversity. We know that our strengths lie in the multiplicity of talents, perspectives, backgrounds, and orientations of residents in our community and we take pride in that. Andela is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities and workplace to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit harassment and/or discrimination as stated above.Andela is home for all, come as you are.


Fonte: Whatjobs_Ppc

Função de trabalho:

Requisitos

Data Science Engineer
Empresa:

Andela


Lugar:

Brasil


Função de trabalho:

Tecnologia da informação

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