Serasa Experian
1001-5000 employees
information-services
data-infrastructure-and-analytics
credit-intermediation
fraud-prevention
market-research
financial-services
data-security-software-products
it-services-and-it-consulting
decision-making-platforms
business-services
enterprise-software
information-technology
information-technology-and-services
marketing
nec
security
services
About Serasa Experian
Somos 17 mil pessoas ao redor do mundo que, por meio de dados, análises e tecnologia, ajudam seus clientes e consumidores a alcançar seus objetivos e navegar em seu mundo com confiança. Acreditamos que dados e pessoas ampliam oportunidades e são essenciais para criar um amanhã melhor. Aqui vamos compartilhar com você o nosso dia a dia, novidades e oportunidades de se juntar à equipe. Se você quer fazer parte disso, você está no lugar certo!
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Description
- You will be part of the Data Consumer Assurance function within the Data Management organization, supporting the monitoring, validation, and assurance of Experian's AWS-based data assets.
- You'll help ensure that our data meets quality, completeness, and compliance — while working in a modern, cloud-native environment.
- Main responsibilities include monitoring AWS-hosted data assets, developing automation routines, building dashboards in Amazon QuickSight, performing exploratory data analysis, supporting governance processes, documenting procedures, and optimizing data workflows.
- The role is ideal for a data professional with 1–3 years of experience, proficiency with AWS services such as S3, Glue, Athena, Redshift, and QuickSight, solid SQL skills, working knowledge of Python, and understanding of data governance principles.
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Requirements
- 1–3 years of experience in data analysis, data quality, or data operations.
- Proficiency with AWS services such as S3, Glue, Athena, Redshift, and QuickSight.
- Solid SQL skills for querying, validation, and data profiling.
- Working knowledge of Python for automation and scripting.
- Understanding of data governance and data quality principles.
- Experience working with large datasets and cloud-based data architectures.
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Benefits
- DEI initiatives and focus on work/life balance.
- Development opportunities and authentic collaboration.
- Wellness programs and reward & recognition.
- Volunteering opportunities.
- Recognition as a World's Best Workplace™ 2024 (Fortune Top 25).
- Great Place To Work™ in 24 countries.
- Glassdoor Best Places to Work 2024.