- Curate, design and catalogue high quality data models to ensure data accessibility and reliability
- Develop highly scalable data processing frameworks for various datasets and applications
- Offer data-driven insights crucial to business processes, facilitating scalable data exposure
- Comprehend existing and potential data sets from engineering and business standpoints
- Implement modern data management tools to organize key data sets, models, and processes, identifying areas for automation and increased efficiency
- Select and integrate new internal & external data sets to support business decisions
- Engineer streaming data processing pipelines
- Promote Cloud technology adoption for data processing and warehousing
- Collaborate with data stakeholders to design models that cater to various requirements
- 5+ years of total experience
- 4+ years in Data Science Engineering role
- 4+ years of AWS experience
- 4+ years proficiency in Python
- 4+ years expertise in SQL
- 4+ years working with Terraform
- Experience in data warehousing and ETL pipeline development
- Streamlit
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Data Science Engineer - Brazil, Brasil - Andela
Descrição
About the role:
Data Science Engineer
Responsibilities
Required skills:
Nice-to-have skills:
Location: 100% remote
Timezone: UTC-4
At Andela, we outcompete through diversity and treasure the varied talents, backgrounds, and perspectives within our community. We uphold a professional environment that values equal employment opportunities and rejects discrimination. Our policies ensure that every individual is respected and receives fair treatment in all employment aspects. Come join Andela, where everyone is welcome!
